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index.html CHANGED
@@ -69,7 +69,7 @@ footer a:hover{text-decoration:underline}
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  </div>
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  <div class="meta" id="meta">
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- <span><b>80</b> models</span><span><b>1098</b> submissions in window</span><span>of <b>1532</b> total on llm-bench.io</span>
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  </div>
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  <div class="card">
@@ -89,6 +89,16 @@ footer a:hover{text-decoration:underline}
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  </tr>
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  </thead>
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  <tbody id="rows">
 
 
 
 
 
 
 
 
 
 
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  <tr style="cursor:pointer" title="Open on llm-bench.io">
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  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mtplx-qwen38-27b-optimized-quality" target="_blank" rel="noopener">mtplx-qwen38-27b-optimized-quality</a>
94
  <span class="model-hw">Apple M5 Max</span></div></td>
@@ -120,14 +130,14 @@ footer a:hover{text-decoration:underline}
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  <td class="num updated">2026-09-15</td>
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  </tr>
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  <tr style="cursor:pointer" title="Open on llm-bench.io">
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- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-oQ4e-mtp" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-oQ4e-mtp</a>
124
- <span class="model-hw">Apple M5 Max</span></div></td>
125
- <td class="num vram">64 GB</td>
126
- <td class="num">3</td>
127
- <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.8</b></td>
128
- <td class="num">112.0</td>
129
- <td class="num sc">82.8</td> <td class="num sc">84.9</td> <td class="num sc">89.8</td> <td class="num sc">85.6</td>
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- <td class="num updated">2026-09-11</td>
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  </tr>
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  <tr style="cursor:pointer" title="Open on llm-bench.io">
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  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mtplx-qwen38-27b-optimized-quality" target="_blank" rel="noopener">mtplx-qwen38-27b-optimized-quality</a>
@@ -146,29 +156,9 @@ footer a:hover{text-decoration:underline}
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  <td class="num">4</td>
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  <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.5</b></td>
148
  <td class="num">37.5</td>
149
- <td class="num sc">79.2</td> <td class="num sc">87.2</td> <td class="num sc">87.9</td> <td class="num sc">87.8</td>
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  <td class="num updated">2026-09-17</td>
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  </tr>
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- <tr style="cursor:pointer" title="Open on llm-bench.io">
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- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL</a>
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- <span class="model-hw">AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 XT + AMD Radeon RX 9060 XT</span></div></td>
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- <td class="num vram">7 GB</td>
156
- <td class="num">3</td>
157
- <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.5</b></td>
158
- <td class="num">35.1</td>
159
- <td class="num sc">83.3</td> <td class="num sc">90.5</td> <td class="num sc">82.6</td> <td class="num sc">85.6</td>
160
- <td class="num updated">2026-09-04</td>
161
- </tr>
162
- <tr style="cursor:pointer" title="Open on llm-bench.io">
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- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.8-27B-GGUF" target="_blank" rel="noopener">unsloth/Qwen3.8-27B-GGUF</a>
164
- <span class="model-hw">AMD Radeon RX 7900 XTX</span></div></td>
165
- <td class="num vram">23 GB</td>
166
- <td class="num">15</td>
167
- <td class="num"><span class="qbar"><i style="width:85%;background:#4ade80"></i></span><b>85.4</b></td>
168
- <td class="num">52.4</td>
169
- <td class="num sc">81.0</td> <td class="num sc">85.3</td> <td class="num sc">90.0</td> <td class="num sc">85.5</td>
170
- <td class="num updated">2026-09-21</td>
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- </tr>
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  <tr style="cursor:pointer" title="Open on llm-bench.io">
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  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-Q4_K_S" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-Q4_K_S</a>
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  <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td>
@@ -189,6 +179,16 @@ footer a:hover{text-decoration:underline}
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  <td class="num sc">78.0</td> <td class="num sc">85.9</td> <td class="num sc">89.0</td> <td class="num sc">87.4</td>
190
  <td class="num updated">2026-08-29</td>
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  </tr>
 
 
 
 
 
 
 
 
 
 
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  <tr style="cursor:pointer" title="Open on llm-bench.io">
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  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mtplx-flash-next-bare-speed" target="_blank" rel="noopener">mtplx-flash-next-bare-speed</a>
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  <span class="model-hw">Apple M5 Max</span></div></td>
@@ -199,6 +199,26 @@ footer a:hover{text-decoration:underline}
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  <td class="num sc">75.6</td> <td class="num sc">84.6</td> <td class="num sc">93.3</td> <td class="num sc">86.3</td>
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  <td class="num updated">2026-09-01</td>
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  </tr>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <tr style="cursor:pointer" title="Open on llm-bench.io">
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  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.8-27b-UD-Q4_K_XL" target="_blank" rel="noopener">qwen3.8-27b-UD-Q4_K_XL</a>
204
  <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td>
@@ -210,34 +230,34 @@ footer a:hover{text-decoration:underline}
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  <td class="num updated">2026-09-08</td>
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  </tr>
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  <tr style="cursor:pointer" title="Open on llm-bench.io">
213
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-oQ4e-mtp" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-oQ4e-mtp</a>
214
- <span class="model-hw">Apple M4 Pro</span></div></td>
215
- <td class="num vram">48 GB</td>
216
- <td class="num">5</td>
217
- <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>84.3</b></td>
218
- <td class="num">70.1</td>
219
- <td class="num sc">76.4</td> <td class="num sc">86.4</td> <td class="num sc">89.2</td> <td class="num sc">85.4</td>
220
- <td class="num updated">2026-09-20</td>
221
  </tr>
222
  <tr style="cursor:pointer" title="Open on llm-bench.io">
223
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ4e-mtp</a>
224
  <span class="model-hw">Apple M5 Max</span></div></td>
225
  <td class="num vram">64 GB</td>
226
- <td class="num">25</td>
227
- <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>84.0</b></td>
228
- <td class="num">44.7</td>
229
- <td class="num sc">75.2</td> <td class="num sc">83.4</td> <td class="num sc">91.1</td> <td class="num sc">86.4</td>
230
- <td class="num updated">2026-09-21</td>
231
  </tr>
232
  <tr style="cursor:pointer" title="Open on llm-bench.io">
233
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Muse-Glimmer-30B-oQ8e" target="_blank" rel="noopener">Muse-Glimmer-30B-oQ8e</a>
234
  <span class="model-hw">Apple M5 Max</span></div></td>
235
  <td class="num vram">64 GB</td>
236
- <td class="num">3</td>
237
- <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.9</b></td>
238
- <td class="num">17.0</td>
239
- <td class="num sc">72.3</td> <td class="num sc">89.4</td> <td class="num sc">92.0</td> <td class="num sc">82.1</td>
240
- <td class="num updated">2026-08-29</td>
241
  </tr>
242
  <tr style="cursor:pointer" title="Open on llm-bench.io">
243
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-GSQ-RCO-IQ3_S" target="_blank" rel="noopener">Qwen3.8-27B-GSQ-RCO-IQ3_S</a>
@@ -249,6 +269,16 @@ footer a:hover{text-decoration:underline}
249
  <td class="num sc">75.3</td> <td class="num sc">84.7</td> <td class="num sc">88.8</td> <td class="num sc">86.3</td>
250
  <td class="num updated">2026-09-04</td>
251
  </tr>
 
 
 
 
 
 
 
 
 
 
252
  <tr style="cursor:pointer" title="Open on llm-bench.io">
253
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=K2-Horizon-MoVA-36B-A4B-MLX-4bit" target="_blank" rel="noopener">K2-Horizon-MoVA-36B-A4B-MLX-4bit</a>
254
  <span class="model-hw">Apple M5 Max</span></div></td>
@@ -256,27 +286,7 @@ footer a:hover{text-decoration:underline}
256
  <td class="num">3</td>
257
  <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.6</b></td>
258
  <td class="num">48.5</td>
259
- <td class="num sc">82.5</td> <td class="num sc">90.8</td> <td class="num sc">76.1</td> <td class="num sc">85.0</td>
260
- <td class="num updated">2026-09-11</td>
261
- </tr>
262
- <tr style="cursor:pointer" title="Open on llm-bench.io">
263
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MLX-oQ4e" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MLX-oQ4e</a>
264
- <span class="model-hw">Apple M5 Max</span></div></td>
265
- <td class="num vram">64 GB</td>
266
- <td class="num">4</td>
267
- <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.4</b></td>
268
- <td class="num">118.4</td>
269
- <td class="num sc">80.7</td> <td class="num sc">82.7</td> <td class="num sc">85.6</td> <td class="num sc">84.4</td>
270
- <td class="num updated">2026-08-25</td>
271
- </tr>
272
- <tr style="cursor:pointer" title="Open on llm-bench.io">
273
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
274
- <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
275
- <td class="num vram">8 GB</td>
276
- <td class="num">6</td>
277
- <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.4</b></td>
278
- <td class="num">102.1</td>
279
- <td class="num sc">77.2</td> <td class="num sc">88.7</td> <td class="num sc">83.2</td> <td class="num sc">84.6</td>
280
  <td class="num updated">2026-09-11</td>
281
  </tr>
282
  <tr style="cursor:pointer" title="Open on llm-bench.io">
@@ -290,34 +300,24 @@ footer a:hover{text-decoration:underline}
290
  <td class="num updated">2026-09-15</td>
291
  </tr>
292
  <tr style="cursor:pointer" title="Open on llm-bench.io">
293
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-oQ8e-mtp" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-oQ8e-mtp</a>
294
- <span class="model-hw">Apple M5 Max</span></div></td>
295
- <td class="num vram">64 GB</td>
296
- <td class="num">4</td>
297
- <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td>
298
- <td class="num">95.1</td>
299
- <td class="num sc">78.2</td> <td class="num sc">80.0</td> <td class="num sc">88.4</td> <td class="num sc">86.7</td>
300
- <td class="num updated">2026-09-07</td>
301
- </tr>
302
- <tr style="cursor:pointer" title="Open on llm-bench.io">
303
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ5e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ5e-mtp</a>
304
- <span class="model-hw">Apple M4 Max</span></div></td>
305
- <td class="num vram">128 GB</td>
306
- <td class="num">79</td>
307
  <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td>
308
- <td class="num">55.2</td>
309
- <td class="num sc">74.5</td> <td class="num sc">84.6</td> <td class="num sc">89.6</td> <td class="num sc">84.4</td>
310
- <td class="num updated">2026-09-18</td>
311
  </tr>
312
  <tr style="cursor:pointer" title="Open on llm-bench.io">
313
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ4e-mtp</a>
314
  <span class="model-hw">Apple M4 Max</span></div></td>
315
  <td class="num vram">128 GB</td>
316
- <td class="num">40</td>
317
  <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td>
318
  <td class="num">44.9</td>
319
- <td class="num sc">76.8</td> <td class="num sc">81.4</td> <td class="num sc">89.1</td> <td class="num sc">85.9</td>
320
- <td class="num updated">2026-09-21</td>
321
  </tr>
322
  <tr style="cursor:pointer" title="Open on llm-bench.io">
323
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-UD-IQ3_S" target="_blank" rel="noopener">Qwen3.8-27B-UD-IQ3_S</a>
@@ -340,14 +340,44 @@ footer a:hover{text-decoration:underline}
340
  <td class="num updated">2026-09-14</td>
341
  </tr>
342
  <tr style="cursor:pointer" title="Open on llm-bench.io">
343
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-mtp</a>
344
  <span class="model-hw">Apple M4 Max</span></div></td>
345
  <td class="num vram">128 GB</td>
346
- <td class="num">37</td>
 
 
 
 
 
 
 
 
 
 
347
  <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.0</b></td>
348
- <td class="num">34.0</td>
349
- <td class="num sc">77.9</td> <td class="num sc">78.7</td> <td class="num sc">89.1</td> <td class="num sc">86.2</td>
350
- <td class="num updated">2026-09-20</td>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
351
  </tr>
352
  <tr style="cursor:pointer" title="Open on llm-bench.io">
353
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Q5GU-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Q5GU-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8</a>
@@ -359,6 +389,26 @@ footer a:hover{text-decoration:underline}
359
  <td class="num sc">76.6</td> <td class="num sc">84.1</td> <td class="num sc">86.2</td> <td class="num sc">84.7</td>
360
  <td class="num updated">2026-09-12</td>
361
  </tr>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
362
  <tr style="cursor:pointer" title="Open on llm-bench.io">
363
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ISTA-DASLab%2FQwen3.8-27B-GSQ-RCO-IQ3_S" target="_blank" rel="noopener">ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-IQ3_S</a>
364
  <span class="model-hw">NVIDIA GeForce RTX 5070 Ti</span></div></td>
@@ -369,16 +419,6 @@ footer a:hover{text-decoration:underline}
369
  <td class="num sc">65.9</td> <td class="num sc">85.7</td> <td class="num sc">91.1</td> <td class="num sc">86.3</td>
370
  <td class="num updated">2026-09-15</td>
371
  </tr>
372
- <tr style="cursor:pointer" title="Open on llm-bench.io">
373
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MLX-oQ4e-MTP" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MLX-oQ4e-MTP</a>
374
- <span class="model-hw">Apple M5 Max</span></div></td>
375
- <td class="num vram">64 GB</td>
376
- <td class="num">5</td>
377
- <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>82.1</b></td>
378
- <td class="num">123.7</td>
379
- <td class="num sc">76.3</td> <td class="num sc">84.4</td> <td class="num sc">82.3</td> <td class="num sc">85.3</td>
380
- <td class="num updated">2026-09-07</td>
381
- </tr>
382
  <tr style="cursor:pointer" title="Open on llm-bench.io">
383
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp</a>
384
  <span class="model-hw">Apple M4 Max</span></div></td>
@@ -389,16 +429,6 @@ footer a:hover{text-decoration:underline}
389
  <td class="num sc">62.2</td> <td class="num sc">89.3</td> <td class="num sc">90.3</td> <td class="num sc">86.6</td>
390
  <td class="num updated">2026-09-13</td>
391
  </tr>
392
- <tr style="cursor:pointer" title="Open on llm-bench.io">
393
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ4e-mtp</a>
394
- <span class="model-hw">Apple M4 Max</span></div></td>
395
- <td class="num vram">128 GB</td>
396
- <td class="num">79</td>
397
- <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.9</b></td>
398
- <td class="num">56.0</td>
399
- <td class="num sc">72.6</td> <td class="num sc">82.7</td> <td class="num sc">87.8</td> <td class="num sc">84.4</td>
400
- <td class="num updated">2026-09-18</td>
401
- </tr>
402
  <tr style="cursor:pointer" title="Open on llm-bench.io">
403
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1</a>
404
  <span class="model-hw">Apple M4 Max</span></div></td>
@@ -409,6 +439,16 @@ footer a:hover{text-decoration:underline}
409
  <td class="num sc">65.0</td> <td class="num sc">83.4</td> <td class="num sc">90.3</td> <td class="num sc">88.9</td>
410
  <td class="num updated">2026-09-13</td>
411
  </tr>
 
 
 
 
 
 
 
 
 
 
412
  <tr style="cursor:pointer" title="Open on llm-bench.io">
413
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL</a>
414
  <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
@@ -419,25 +459,25 @@ footer a:hover{text-decoration:underline}
419
  <td class="num sc">77.3</td> <td class="num sc">80.5</td> <td class="num sc">83.7</td> <td class="num sc">85.4</td>
420
  <td class="num updated">2026-09-11</td>
421
  </tr>
 
 
 
 
 
 
 
 
 
 
422
  <tr style="cursor:pointer" title="Open on llm-bench.io">
423
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-mtp</a>
424
  <span class="model-hw">Apple M5 Max</span></div></td>
425
  <td class="num vram">64 GB</td>
426
- <td class="num">26</td>
427
- <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.7</b></td>
428
- <td class="num">33.6</td>
429
- <td class="num sc">70.8</td> <td class="num sc">82.3</td> <td class="num sc">88.7</td> <td class="num sc">84.8</td>
430
- <td class="num updated">2026-09-20</td>
431
- </tr>
432
- <tr style="cursor:pointer" title="Open on llm-bench.io">
433
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
434
- <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
435
- <td class="num vram">8 GB</td>
436
- <td class="num">3</td>
437
- <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.5</b></td>
438
- <td class="num">115.7</td>
439
- <td class="num sc">73.8</td> <td class="num sc">85.3</td> <td class="num sc">82.4</td> <td class="num sc">84.7</td>
440
- <td class="num updated">2026-09-10</td>
441
  </tr>
442
  <tr style="cursor:pointer" title="Open on llm-bench.io">
443
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-Q4_K_XL" target="_blank" rel="noopener">Qwen3.8-27B-Q4_K_XL</a>
@@ -470,14 +510,14 @@ footer a:hover{text-decoration:underline}
470
  <td class="num updated">2026-09-12</td>
471
  </tr>
472
  <tr style="cursor:pointer" title="Open on llm-bench.io">
473
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL" target="_blank" rel="noopener">Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL</a>
474
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
475
  <td class="num vram">16 GB</td>
476
- <td class="num">5</td>
477
- <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>81.0</b></td>
478
- <td class="num">38.3</td>
479
- <td class="num sc">75.8</td> <td class="num sc">83.7</td> <td class="num sc">85.7</td> <td class="num sc">79.0</td>
480
- <td class="num updated">2026-09-21</td>
481
  </tr>
482
  <tr style="cursor:pointer" title="Open on llm-bench.io">
483
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FNVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF%3AUD-Q4_K_XL" target="_blank" rel="noopener">unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL</a>
@@ -499,6 +539,16 @@ footer a:hover{text-decoration:underline}
499
  <td class="num sc">78.7</td> <td class="num sc">81.4</td> <td class="num sc">82.4</td> <td class="num sc">80.2</td>
500
  <td class="num updated">2026-09-05</td>
501
  </tr>
 
 
 
 
 
 
 
 
 
 
502
  <tr style="cursor:pointer" title="Open on llm-bench.io">
503
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-fp16-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-fp16-mtp</a>
504
  <span class="model-hw">Apple M2 Ultra</span></div></td>
@@ -519,26 +569,6 @@ footer a:hover{text-decoration:underline}
519
  <td class="num sc">73.9</td> <td class="num sc">81.2</td> <td class="num sc">81.1</td> <td class="num sc">85.1</td>
520
  <td class="num updated">2026-09-12</td>
521
  </tr>
522
- <tr style="cursor:pointer" title="Open on llm-bench.io">
523
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Unsloth-Ornith-1.5-35B-A3B-UD-IQ3_XXS" target="_blank" rel="noopener">Unsloth-Ornith-1.5-35B-A3B-UD-IQ3_XXS</a>
524
- <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
525
- <td class="num vram">8 GB</td>
526
- <td class="num">5</td>
527
- <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>80.2</b></td>
528
- <td class="num">88.1</td>
529
- <td class="num sc">75.3</td> <td class="num sc">71.2</td> <td class="num sc">90.1</td> <td class="num sc">84.2</td>
530
- <td class="num updated">2026-09-15</td>
531
- </tr>
532
- <tr style="cursor:pointer" title="Open on llm-bench.io">
533
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3_coder_next" target="_blank" rel="noopener">qwen3_coder_next</a>
534
- <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td>
535
- <td class="num vram">10 GB</td>
536
- <td class="num">4</td>
537
- <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>80.1</b></td>
538
- <td class="num">31.2</td>
539
- <td class="num sc">72.5</td> <td class="num sc">87.3</td> <td class="num sc">85.3</td> <td class="num sc">75.4</td>
540
- <td class="num updated">2026-08-25</td>
541
- </tr>
542
  <tr style="cursor:pointer" title="Open on llm-bench.io">
543
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Dynamic-oQ5e-BF16-PLE-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Dynamic-oQ5e-BF16-PLE-mtp</a>
544
  <span class="model-hw">Apple M4 Max</span></div></td>
@@ -569,6 +599,16 @@ footer a:hover{text-decoration:underline}
569
  <td class="num sc">75.9</td> <td class="num sc">76.9</td> <td class="num sc">84.4</td> <td class="num sc">80.6</td>
570
  <td class="num updated">2026-08-31</td>
571
  </tr>
 
 
 
 
 
 
 
 
 
 
572
  <tr style="cursor:pointer" title="Open on llm-bench.io">
573
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-UD-Q3_K_XL" target="_blank" rel="noopener">Qwen3.8-27B-UD-Q3_K_XL</a>
574
  <span class="model-hw">NVIDIA GeForce RTX 5070 Ti</span></div></td>
@@ -589,6 +629,16 @@ footer a:hover{text-decoration:underline}
589
  <td class="num sc">77.2</td> <td class="num sc">81.8</td> <td class="num sc">80.9</td> <td class="num sc">75.8</td>
590
  <td class="num updated">2026-09-01</td>
591
  </tr>
 
 
 
 
 
 
 
 
 
 
592
  <tr style="cursor:pointer" title="Open on llm-bench.io">
593
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-Q5_K_M" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-Q5_K_M</a>
594
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
@@ -603,11 +653,11 @@ footer a:hover{text-decoration:underline}
603
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=tiel-coder-35b-a3b-mtp" target="_blank" rel="noopener">tiel-coder-35b-a3b-mtp</a>
604
  <span class="model-hw">AMD Radeon RX 9050 / 9060 XT</span></div></td>
605
  <td class="num vram">15 GB</td>
606
- <td class="num">5</td>
607
- <td class="num"><span class="qbar"><i style="width:78%;background:#facc15"></i></span><b>77.8</b></td>
608
- <td class="num">80.2</td>
609
- <td class="num sc">64.2</td> <td class="num sc">81.8</td> <td class="num sc">82.7</td> <td class="num sc">82.5</td>
610
- <td class="num updated">2026-09-21</td>
611
  </tr>
612
  <tr style="cursor:pointer" title="Open on llm-bench.io">
613
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-35B-A3B-Distill.Q4_K_M" target="_blank" rel="noopener">Qwen3.8-35B-A3B-Distill.Q4_K_M</a>
@@ -619,6 +669,16 @@ footer a:hover{text-decoration:underline}
619
  <td class="num sc">69.8</td> <td class="num sc">77.3</td> <td class="num sc">89.1</td> <td class="num sc">74.9</td>
620
  <td class="num updated">2026-09-21</td>
621
  </tr>
 
 
 
 
 
 
 
 
 
 
622
  <tr style="cursor:pointer" title="Open on llm-bench.io">
623
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-Q8_0" target="_blank" rel="noopener">Qwen3.8-27B-Q8_0</a>
624
  <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900M</span></div></td>
@@ -649,6 +709,16 @@ footer a:hover{text-decoration:underline}
649
  <td class="num sc">70.3</td> <td class="num sc">83.8</td> <td class="num sc">71.6</td> <td class="num sc">76.7</td>
650
  <td class="num updated">2026-09-09</td>
651
  </tr>
 
 
 
 
 
 
 
 
 
 
652
  <tr style="cursor:pointer" title="Open on llm-bench.io">
653
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=gemma-4-26B-A4B-it-UD-IQ4_NL" target="_blank" rel="noopener">gemma-4-26B-A4B-it-UD-IQ4_NL</a>
654
  <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
@@ -659,6 +729,26 @@ footer a:hover{text-decoration:underline}
659
  <td class="num sc">67.6</td> <td class="num sc">82.5</td> <td class="num sc">80.5</td> <td class="num sc">67.5</td>
660
  <td class="num updated">2026-09-12</td>
661
  </tr>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
662
  <tr style="cursor:pointer" title="Open on llm-bench.io">
663
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-UD-IQ3_XXS" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-UD-IQ3_XXS</a>
664
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
@@ -696,9 +786,19 @@ footer a:hover{text-decoration:underline}
696
  <td class="num">3</td>
697
  <td class="num"><span class="qbar"><i style="width:70%;background:#f87171"></i></span><b>69.5</b></td>
698
  <td class="num">169.9</td>
699
- <td class="num sc">67.9</td> <td class="num sc">75.2</td> <td class="num sc">79.9</td> <td class="num sc">55.2</td>
700
  <td class="num updated">2026-09-05</td>
701
  </tr>
 
 
 
 
 
 
 
 
 
 
702
  <tr style="cursor:pointer" title="Open on llm-bench.io">
703
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.5-9b-mtp%40q8_0" target="_blank" rel="noopener">qwen3.5-9b-mtp@q8_0</a>
704
  <span class="model-hw">AMD Radeon RX 7600 XT</span></div></td>
@@ -709,16 +809,6 @@ footer a:hover{text-decoration:underline}
709
  <td class="num sc">56.2</td> <td class="num sc">62.6</td> <td class="num sc">80.5</td> <td class="num sc">70.7</td>
710
  <td class="num updated">2026-09-11</td>
711
  </tr>
712
- <tr style="cursor:pointer" title="Open on llm-bench.io">
713
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen36-35b_VISION" target="_blank" rel="noopener">qwen36-35b_VISION</a>
714
- <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td>
715
- <td class="num vram">10 GB</td>
716
- <td class="num">5</td>
717
- <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>67.0</b></td>
718
- <td class="num">33.1</td>
719
- <td class="num sc">60.7</td> <td class="num sc">52.9</td> <td class="num sc">81.6</td> <td class="num sc">73.0</td>
720
- <td class="num updated">2026-08-26</td>
721
- </tr>
722
  <tr style="cursor:pointer" title="Open on llm-bench.io">
723
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mudler%2FQwen3.6-35B-A3B-APEX-MTP-GGUF" target="_blank" rel="noopener">mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF</a>
724
  <span class="model-hw">Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1</span></div></td>
@@ -726,19 +816,9 @@ footer a:hover{text-decoration:underline}
726
  <td class="num">4</td>
727
  <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>66.8</b></td>
728
  <td class="num">31.6</td>
729
- <td class="num sc">65.7</td> <td class="num sc">59.9</td> <td class="num sc">68.0</td> <td class="num sc">73.8</td>
730
  <td class="num updated">2026-09-01</td>
731
  </tr>
732
- <tr style="cursor:pointer" title="Open on llm-bench.io">
733
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen35_122b" target="_blank" rel="noopener">qwen35_122b</a>
734
- <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td>
735
- <td class="num vram">10 GB</td>
736
- <td class="num">5</td>
737
- <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>66.7</b></td>
738
- <td class="num">15.2</td>
739
- <td class="num sc">53.7</td> <td class="num sc">56.3</td> <td class="num sc">80.3</td> <td class="num sc">76.3</td>
740
- <td class="num updated">2026-08-25</td>
741
- </tr>
742
  <tr style="cursor:pointer" title="Open on llm-bench.io">
743
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL</a>
744
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
@@ -750,14 +830,14 @@ footer a:hover{text-decoration:underline}
750
  <td class="num updated">2026-09-21</td>
751
  </tr>
752
  <tr style="cursor:pointer" title="Open on llm-bench.io">
753
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ling-3.0-tiny-oQ8e" target="_blank" rel="noopener">Ling-3.0-tiny-oQ8e</a>
754
- <span class="model-hw">Apple M4 Max</span></div></td>
755
- <td class="num vram">128 GB</td>
756
- <td class="num">4</td>
757
- <td class="num"><span class="qbar"><i style="width:60%;background:#f87171"></i></span><b>60.1</b></td>
758
- <td class="num">124.9</td>
759
- <td class="num sc">47.3</td> <td class="num sc">72.3</td> <td class="num sc">45.5</td> <td class="num sc">75.2</td>
760
- <td class="num updated">2026-09-10</td>
761
  </tr>
762
  <tr style="cursor:pointer" title="Open on llm-bench.io">
763
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-9B-Distill-uncensored-heretic.i1-IQ3_M" target="_blank" rel="noopener">Qwen3.8-9B-Distill-uncensored-heretic.i1-IQ3_M</a>
@@ -780,24 +860,14 @@ footer a:hover{text-decoration:underline}
780
  <td class="num updated">2026-09-14</td>
781
  </tr>
782
  <tr style="cursor:pointer" title="Open on llm-bench.io">
783
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.8-27B-GGUF" target="_blank" rel="noopener">unsloth/Qwen3.8-27B-GGUF</a>
784
- <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
785
- <td class="num vram">11 GB</td>
786
- <td class="num">5</td>
787
- <td class="num"><span class="qbar"><i style="width:56%;background:#f87171"></i></span><b>56.0</b></td>
788
- <td class="num">39.3</td>
789
- <td class="num sc">12.6</td> <td class="num sc">63.7</td> <td class="num sc">91.1</td> <td class="num sc">56.5</td>
790
- <td class="num updated">2026-09-18</td>
791
- </tr>
792
- <tr style="cursor:pointer" title="Open on llm-bench.io">
793
- <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ornith-1.5-9b" target="_blank" rel="noopener">ornith-1.5-9b</a>
794
- <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td>
795
- <td class="num vram">10 GB</td>
796
  <td class="num">3</td>
797
- <td class="num"><span class="qbar"><i style="width:54%;background:#f87171"></i></span><b>54.3</b></td>
798
- <td class="num">93.8</td>
799
- <td class="num sc">11.7</td> <td class="num sc">55.2</td> <td class="num sc">76.6</td> <td class="num sc">73.8</td>
800
- <td class="num updated">2026-08-25</td>
801
  </tr>
802
  <tr style="cursor:pointer" title="Open on llm-bench.io">
803
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=30cmtonyfaker%2FQwen3.8-Flash-Next-REAP-288-MLX-Serve-4bit-MTP" target="_blank" rel="noopener">30cmtonyfaker/Qwen3.8-Flash-Next-REAP-288-MLX-Serve-4bit-MTP</a>
@@ -809,6 +879,16 @@ footer a:hover{text-decoration:underline}
809
  <td class="num sc">7.6</td> <td class="num sc">61.5</td> <td class="num sc">78.8</td> <td class="num sc">68.2</td>
810
  <td class="num updated">2026-09-20</td>
811
  </tr>
 
 
 
 
 
 
 
 
 
 
812
  <tr style="cursor:pointer" title="Open on llm-bench.io">
813
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=LFM2.5-8B-A1B-Q4_K_M" target="_blank" rel="noopener">LFM2.5-8B-A1B-Q4_K_M</a>
814
  <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
@@ -863,21 +943,41 @@ footer a:hover{text-decoration:underline}
863
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FLFM2.5-1.2B-Instruct-GGUF" target="_blank" rel="noopener">unsloth/LFM2.5-1.2B-Instruct-GGUF</a>
864
  <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
865
  <td class="num vram">11 GB</td>
866
- <td class="num">4</td>
867
- <td class="num"><span class="qbar"><i style="width:34%;background:#f87171"></i></span><b>34.2</b></td>
868
- <td class="num">359.2</td>
869
- <td class="num sc">6.9</td> <td class="num sc">58.2</td> <td class="num sc">51.0</td> <td class="num sc">20.5</td>
870
- <td class="num updated">2026-09-18</td>
871
  </tr>
872
  <tr style="cursor:pointer" title="Open on llm-bench.io">
873
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FLFM2.5-1.2B-Thinking-GGUF" target="_blank" rel="noopener">unsloth/LFM2.5-1.2B-Thinking-GGUF</a>
874
  <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
875
  <td class="num vram">11 GB</td>
876
- <td class="num">7</td>
877
- <td class="num"><span class="qbar"><i style="width:31%;background:#f87171"></i></span><b>31.1</b></td>
878
- <td class="num">319.5</td>
879
- <td class="num sc">8.0</td> <td class="num sc">44.2</td> <td class="num sc">47.9</td> <td class="num sc">24.3</td>
880
- <td class="num updated">2026-09-18</td>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
881
  </tr>
882
  <tr style="cursor:pointer" title="Open on llm-bench.io">
883
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ2e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ2e-mtp</a>
@@ -894,7 +994,7 @@ footer a:hover{text-decoration:underline}
894
  </div>
895
 
896
  <footer>
897
- <span>Updated on: <b id="gen">21 Sep 2026</b></span>
898
  <span>·</span>
899
  <span>Data contains runs of the last <b id="win">30</b> days</span>
900
  <span>·</span>
 
69
  </div>
70
 
71
  <div class="meta" id="meta">
72
+ <span><b>90</b> models</span><span><b>1316</b> submissions in window</span><span>of <b>1892</b> total on llm-bench.io</span>
73
  </div>
74
 
75
  <div class="card">
 
89
  </tr>
90
  </thead>
91
  <tbody id="rows">
92
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
93
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-MTPLX-Optimized-Quality" target="_blank" rel="noopener">Qwen3.8-27B-MTPLX-Optimized-Quality</a>
94
+ <span class="model-hw">Apple M5 Max</span></div></td>
95
+ <td class="num vram">64 GB</td>
96
+ <td class="num">3</td>
97
+ <td class="num"><span class="qbar"><i style="width:87%;background:#4ade80"></i></span><b>87.2</b></td>
98
+ <td class="num">37.8</td>
99
+ <td class="num sc">79.1</td> <td class="num sc">88.2</td> <td class="num sc">92.9</td> <td class="num sc">88.6</td>
100
+ <td class="num updated">2026-09-25</td>
101
+ </tr>
102
  <tr style="cursor:pointer" title="Open on llm-bench.io">
103
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mtplx-qwen38-27b-optimized-quality" target="_blank" rel="noopener">mtplx-qwen38-27b-optimized-quality</a>
104
  <span class="model-hw">Apple M5 Max</span></div></td>
 
130
  <td class="num updated">2026-09-15</td>
131
  </tr>
132
  <tr style="cursor:pointer" title="Open on llm-bench.io">
133
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.8-27B-GGUF" target="_blank" rel="noopener">unsloth/Qwen3.8-27B-GGUF</a>
134
+ <span class="model-hw">AMD Radeon RX 7900 XTX</span></div></td>
135
+ <td class="num vram">23 GB</td>
136
+ <td class="num">43</td>
137
+ <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>86.0</b></td>
138
+ <td class="num">49.4</td>
139
+ <td class="num sc">81.1</td> <td class="num sc">85.3</td> <td class="num sc">90.8</td> <td class="num sc">86.7</td>
140
+ <td class="num updated">2026-09-25</td>
141
  </tr>
142
  <tr style="cursor:pointer" title="Open on llm-bench.io">
143
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mtplx-qwen38-27b-optimized-quality" target="_blank" rel="noopener">mtplx-qwen38-27b-optimized-quality</a>
 
156
  <td class="num">4</td>
157
  <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.5</b></td>
158
  <td class="num">37.5</td>
159
+ <td class="num sc">79.2</td> <td class="num sc">87.2</td> <td class="num sc">88.0</td> <td class="num sc">87.8</td>
160
  <td class="num updated">2026-09-17</td>
161
  </tr>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
162
  <tr style="cursor:pointer" title="Open on llm-bench.io">
163
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-Q4_K_S" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-Q4_K_S</a>
164
  <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td>
 
179
  <td class="num sc">78.0</td> <td class="num sc">85.9</td> <td class="num sc">89.0</td> <td class="num sc">87.4</td>
180
  <td class="num updated">2026-08-29</td>
181
  </tr>
182
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
183
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ukisai%2FSwift-Qwen3.8-27B-GGUF" target="_blank" rel="noopener">ukisai/Swift-Qwen3.8-27B-GGUF</a>
184
+ <span class="model-hw">AMD Radeon RX 7900 XTX</span></div></td>
185
+ <td class="num vram">23 GB</td>
186
+ <td class="num">6</td>
187
+ <td class="num"><span class="qbar"><i style="width:85%;background:#4ade80"></i></span><b>85.1</b></td>
188
+ <td class="num">33.4</td>
189
+ <td class="num sc">77.2</td> <td class="num sc">86.5</td> <td class="num sc">88.8</td> <td class="num sc">87.7</td>
190
+ <td class="num updated">2026-09-24</td>
191
+ </tr>
192
  <tr style="cursor:pointer" title="Open on llm-bench.io">
193
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mtplx-flash-next-bare-speed" target="_blank" rel="noopener">mtplx-flash-next-bare-speed</a>
194
  <span class="model-hw">Apple M5 Max</span></div></td>
 
199
  <td class="num sc">75.6</td> <td class="num sc">84.6</td> <td class="num sc">93.3</td> <td class="num sc">86.3</td>
200
  <td class="num updated">2026-09-01</td>
201
  </tr>
202
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
203
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=bottlecapai%2FThinkingCap-Qwen3.8-27B-GGUF" target="_blank" rel="noopener">bottlecapai/ThinkingCap-Qwen3.8-27B-GGUF</a>
204
+ <span class="model-hw">AMD Radeon RX 7900 XTX</span></div></td>
205
+ <td class="num vram">23 GB</td>
206
+ <td class="num">5</td>
207
+ <td class="num"><span class="qbar"><i style="width:85%;background:#4ade80"></i></span><b>85.0</b></td>
208
+ <td class="num">37.8</td>
209
+ <td class="num sc">80.9</td> <td class="num sc">82.0</td> <td class="num sc">92.0</td> <td class="num sc">85.1</td>
210
+ <td class="num updated">2026-09-24</td>
211
+ </tr>
212
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
213
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-oQ8e-mtp" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-oQ8e-mtp</a>
214
+ <span class="model-hw">Apple M5 Max</span></div></td>
215
+ <td class="num vram">64 GB</td>
216
+ <td class="num">4</td>
217
+ <td class="num"><span class="qbar"><i style="width:85%;background:#facc15"></i></span><b>84.9</b></td>
218
+ <td class="num">98.5</td>
219
+ <td class="num sc">76.8</td> <td class="num sc">87.9</td> <td class="num sc">88.9</td> <td class="num sc">86.0</td>
220
+ <td class="num updated">2026-09-24</td>
221
+ </tr>
222
  <tr style="cursor:pointer" title="Open on llm-bench.io">
223
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.8-27b-UD-Q4_K_XL" target="_blank" rel="noopener">qwen3.8-27b-UD-Q4_K_XL</a>
224
  <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td>
 
230
  <td class="num updated">2026-09-08</td>
231
  </tr>
232
  <tr style="cursor:pointer" title="Open on llm-bench.io">
233
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ6e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ6e-mtp</a>
234
+ <span class="model-hw">Apple M5 Max</span></div></td>
235
+ <td class="num vram">64 GB</td>
236
+ <td class="num">3</td>
237
+ <td class="num"><span class="qbar"><i style="width:85%;background:#facc15"></i></span><b>84.8</b></td>
238
+ <td class="num">42.6</td>
239
+ <td class="num sc">76.8</td> <td class="num sc">83.8</td> <td class="num sc">92.6</td> <td class="num sc">85.9</td>
240
+ <td class="num updated">2026-09-24</td>
241
  </tr>
242
  <tr style="cursor:pointer" title="Open on llm-bench.io">
243
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Swift-Qwen3.8-27b-oQ4e-fp16-mtp" target="_blank" rel="noopener">Swift-Qwen3.8-27b-oQ4e-fp16-mtp</a>
244
  <span class="model-hw">Apple M5 Max</span></div></td>
245
  <td class="num vram">64 GB</td>
246
+ <td class="num">3</td>
247
+ <td class="num"><span class="qbar"><i style="width:85%;background:#facc15"></i></span><b>84.7</b></td>
248
+ <td class="num">41.5</td>
249
+ <td class="num sc">77.0</td> <td class="num sc">85.9</td> <td class="num sc">90.4</td> <td class="num sc">85.4</td>
250
+ <td class="num updated">2026-09-24</td>
251
  </tr>
252
  <tr style="cursor:pointer" title="Open on llm-bench.io">
253
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ4e-mtp</a>
254
  <span class="model-hw">Apple M5 Max</span></div></td>
255
  <td class="num vram">64 GB</td>
256
+ <td class="num">21</td>
257
+ <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>84.0</b></td>
258
+ <td class="num">46.2</td>
259
+ <td class="num sc">76.4</td> <td class="num sc">82.6</td> <td class="num sc">91.4</td> <td class="num sc">85.8</td>
260
+ <td class="num updated">2026-09-23</td>
261
  </tr>
262
  <tr style="cursor:pointer" title="Open on llm-bench.io">
263
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-GSQ-RCO-IQ3_S" target="_blank" rel="noopener">Qwen3.8-27B-GSQ-RCO-IQ3_S</a>
 
269
  <td class="num sc">75.3</td> <td class="num sc">84.7</td> <td class="num sc">88.8</td> <td class="num sc">86.3</td>
270
  <td class="num updated">2026-09-04</td>
271
  </tr>
272
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
273
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-oQ4e-mtp" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-oQ4e-mtp</a>
274
+ <span class="model-hw">Apple M4 Pro</span></div></td>
275
+ <td class="num vram">48 GB</td>
276
+ <td class="num">6</td>
277
+ <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.6</b></td>
278
+ <td class="num">70.3</td>
279
+ <td class="num sc">76.0</td> <td class="num sc">83.3</td> <td class="num sc">89.3</td> <td class="num sc">85.6</td>
280
+ <td class="num updated">2026-09-22</td>
281
+ </tr>
282
  <tr style="cursor:pointer" title="Open on llm-bench.io">
283
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=K2-Horizon-MoVA-36B-A4B-MLX-4bit" target="_blank" rel="noopener">K2-Horizon-MoVA-36B-A4B-MLX-4bit</a>
284
  <span class="model-hw">Apple M5 Max</span></div></td>
 
286
  <td class="num">3</td>
287
  <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.6</b></td>
288
  <td class="num">48.5</td>
289
+ <td class="num sc">82.5</td> <td class="num sc">90.8</td> <td class="num sc">76.1</td> <td class="num sc">84.9</td>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
290
  <td class="num updated">2026-09-11</td>
291
  </tr>
292
  <tr style="cursor:pointer" title="Open on llm-bench.io">
 
300
  <td class="num updated">2026-09-15</td>
301
  </tr>
302
  <tr style="cursor:pointer" title="Open on llm-bench.io">
303
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
304
+ <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
305
+ <td class="num vram">8 GB</td>
306
+ <td class="num">7</td>
 
 
 
 
 
 
 
 
 
 
307
  <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td>
308
+ <td class="num">103.5</td>
309
+ <td class="num sc">76.1</td> <td class="num sc">88.3</td> <td class="num sc">84.1</td> <td class="num sc">84.5</td>
310
+ <td class="num updated">2026-09-24</td>
311
  </tr>
312
  <tr style="cursor:pointer" title="Open on llm-bench.io">
313
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ4e-mtp</a>
314
  <span class="model-hw">Apple M4 Max</span></div></td>
315
  <td class="num vram">128 GB</td>
316
+ <td class="num">70</td>
317
  <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td>
318
  <td class="num">44.9</td>
319
+ <td class="num sc">77.0</td> <td class="num sc">81.4</td> <td class="num sc">88.9</td> <td class="num sc">85.9</td>
320
+ <td class="num updated">2026-09-22</td>
321
  </tr>
322
  <tr style="cursor:pointer" title="Open on llm-bench.io">
323
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-UD-IQ3_S" target="_blank" rel="noopener">Qwen3.8-27B-UD-IQ3_S</a>
 
340
  <td class="num updated">2026-09-14</td>
341
  </tr>
342
  <tr style="cursor:pointer" title="Open on llm-bench.io">
343
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ6e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ6e-mtp</a>
344
  <span class="model-hw">Apple M4 Max</span></div></td>
345
  <td class="num vram">128 GB</td>
346
+ <td class="num">26</td>
347
+ <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.1</b></td>
348
+ <td class="num">38.6</td>
349
+ <td class="num sc">77.6</td> <td class="num sc">77.9</td> <td class="num sc">90.4</td> <td class="num sc">86.3</td>
350
+ <td class="num updated">2026-09-24</td>
351
+ </tr>
352
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
353
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8Next" target="_blank" rel="noopener">Qwen3.8Next</a>
354
+ <span class="model-hw">Apple M5 Max</span></div></td>
355
+ <td class="num vram">128 GB</td>
356
+ <td class="num">4</td>
357
  <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.0</b></td>
358
+ <td class="num">54.7</td>
359
+ <td class="num sc">74.7</td> <td class="num sc">84.7</td> <td class="num sc">89.4</td> <td class="num sc">83.2</td>
360
+ <td class="num updated">2026-09-26</td>
361
+ </tr>
362
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
363
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3" target="_blank" rel="noopener">qwen3</a>
364
+ <span class="model-hw">AMD Radeon RX 6700/6700 XT/6750 XT / 6800M/6850M XT + AMD Radeon RX 6800/6800 XT / 6900 XT</span></div></td>
365
+ <td class="num vram">15 GB</td>
366
+ <td class="num">3</td>
367
+ <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.0</b></td>
368
+ <td class="num">35.7</td>
369
+ <td class="num sc">73.7</td> <td class="num sc">82.8</td> <td class="num sc">92.1</td> <td class="num sc">83.5</td>
370
+ <td class="num updated">2026-09-25</td>
371
+ </tr>
372
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
373
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ5e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ5e-mtp</a>
374
+ <span class="model-hw">Apple M4 Max</span></div></td>
375
+ <td class="num vram">128 GB</td>
376
+ <td class="num">100</td>
377
+ <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>82.9</b></td>
378
+ <td class="num">54.5</td>
379
+ <td class="num sc">74.5</td> <td class="num sc">83.2</td> <td class="num sc">89.6</td> <td class="num sc">84.3</td>
380
+ <td class="num updated">2026-09-23</td>
381
  </tr>
382
  <tr style="cursor:pointer" title="Open on llm-bench.io">
383
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Q5GU-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Q5GU-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8</a>
 
389
  <td class="num sc">76.6</td> <td class="num sc">84.1</td> <td class="num sc">86.2</td> <td class="num sc">84.7</td>
390
  <td class="num updated">2026-09-12</td>
391
  </tr>
392
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
393
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-mtp</a>
394
+ <span class="model-hw">Apple M4 Max</span></div></td>
395
+ <td class="num vram">128 GB</td>
396
+ <td class="num">54</td>
397
+ <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>82.9</b></td>
398
+ <td class="num">34.0</td>
399
+ <td class="num sc">78.4</td> <td class="num sc">78.5</td> <td class="num sc">88.9</td> <td class="num sc">85.8</td>
400
+ <td class="num updated">2026-09-23</td>
401
+ </tr>
402
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
403
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-REAP-384-oQ5e-BF16-MTP-PLE" target="_blank" rel="noopener">Qwen3.8-Flash-Next-REAP-384-oQ5e-BF16-MTP-PLE</a>
404
+ <span class="model-hw">Apple M4 Max</span></div></td>
405
+ <td class="num vram">128 GB</td>
406
+ <td class="num">23</td>
407
+ <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>82.6</b></td>
408
+ <td class="num">61.1</td>
409
+ <td class="num sc">74.6</td> <td class="num sc">83.1</td> <td class="num sc">88.9</td> <td class="num sc">83.8</td>
410
+ <td class="num updated">2026-09-22</td>
411
+ </tr>
412
  <tr style="cursor:pointer" title="Open on llm-bench.io">
413
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ISTA-DASLab%2FQwen3.8-27B-GSQ-RCO-IQ3_S" target="_blank" rel="noopener">ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-IQ3_S</a>
414
  <span class="model-hw">NVIDIA GeForce RTX 5070 Ti</span></div></td>
 
419
  <td class="num sc">65.9</td> <td class="num sc">85.7</td> <td class="num sc">91.1</td> <td class="num sc">86.3</td>
420
  <td class="num updated">2026-09-15</td>
421
  </tr>
 
 
 
 
 
 
 
 
 
 
422
  <tr style="cursor:pointer" title="Open on llm-bench.io">
423
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp</a>
424
  <span class="model-hw">Apple M4 Max</span></div></td>
 
429
  <td class="num sc">62.2</td> <td class="num sc">89.3</td> <td class="num sc">90.3</td> <td class="num sc">86.6</td>
430
  <td class="num updated">2026-09-13</td>
431
  </tr>
 
 
 
 
 
 
 
 
 
 
432
  <tr style="cursor:pointer" title="Open on llm-bench.io">
433
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1</a>
434
  <span class="model-hw">Apple M4 Max</span></div></td>
 
439
  <td class="num sc">65.0</td> <td class="num sc">83.4</td> <td class="num sc">90.3</td> <td class="num sc">88.9</td>
440
  <td class="num updated">2026-09-13</td>
441
  </tr>
442
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
443
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ4e-mtp</a>
444
+ <span class="model-hw">Apple M4 Max</span></div></td>
445
+ <td class="num vram">128 GB</td>
446
+ <td class="num">95</td>
447
+ <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.8</b></td>
448
+ <td class="num">58.6</td>
449
+ <td class="num sc">72.6</td> <td class="num sc">82.9</td> <td class="num sc">87.5</td> <td class="num sc">84.4</td>
450
+ <td class="num updated">2026-09-27</td>
451
+ </tr>
452
  <tr style="cursor:pointer" title="Open on llm-bench.io">
453
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL</a>
454
  <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
 
459
  <td class="num sc">77.3</td> <td class="num sc">80.5</td> <td class="num sc">83.7</td> <td class="num sc">85.4</td>
460
  <td class="num updated">2026-09-11</td>
461
  </tr>
462
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
463
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL" target="_blank" rel="noopener">Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL</a>
464
+ <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
465
+ <td class="num vram">16 GB</td>
466
+ <td class="num">14</td>
467
+ <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.6</b></td>
468
+ <td class="num">39.1</td>
469
+ <td class="num sc">76.6</td> <td class="num sc">83.8</td> <td class="num sc">84.0</td> <td class="num sc">81.8</td>
470
+ <td class="num updated">2026-09-22</td>
471
+ </tr>
472
  <tr style="cursor:pointer" title="Open on llm-bench.io">
473
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-mtp</a>
474
  <span class="model-hw">Apple M5 Max</span></div></td>
475
  <td class="num vram">64 GB</td>
476
+ <td class="num">22</td>
477
+ <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.6</b></td>
478
+ <td class="num">34.1</td>
479
+ <td class="num sc">72.0</td> <td class="num sc">82.0</td> <td class="num sc">88.1</td> <td class="num sc">84.2</td>
480
+ <td class="num updated">2026-09-26</td>
 
 
 
 
 
 
 
 
 
 
481
  </tr>
482
  <tr style="cursor:pointer" title="Open on llm-bench.io">
483
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-Q4_K_XL" target="_blank" rel="noopener">Qwen3.8-27B-Q4_K_XL</a>
 
510
  <td class="num updated">2026-09-12</td>
511
  </tr>
512
  <tr style="cursor:pointer" title="Open on llm-bench.io">
513
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
514
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
515
  <td class="num vram">16 GB</td>
516
+ <td class="num">41</td>
517
+ <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>80.9</b></td>
518
+ <td class="num">60.2</td>
519
+ <td class="num sc">76.5</td> <td class="num sc">82.9</td> <td class="num sc">82.4</td> <td class="num sc">81.8</td>
520
+ <td class="num updated">2026-09-23</td>
521
  </tr>
522
  <tr style="cursor:pointer" title="Open on llm-bench.io">
523
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FNVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF%3AUD-Q4_K_XL" target="_blank" rel="noopener">unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL</a>
 
539
  <td class="num sc">78.7</td> <td class="num sc">81.4</td> <td class="num sc">82.4</td> <td class="num sc">80.2</td>
540
  <td class="num updated">2026-09-05</td>
541
  </tr>
542
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
543
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Unsloth-Ornith-1.5-35B-A3B-UD-IQ3_XXS" target="_blank" rel="noopener">Unsloth-Ornith-1.5-35B-A3B-UD-IQ3_XXS</a>
544
+ <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
545
+ <td class="num vram">8 GB</td>
546
+ <td class="num">6</td>
547
+ <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>80.7</b></td>
548
+ <td class="num">88.2</td>
549
+ <td class="num sc">76.9</td> <td class="num sc">73.6</td> <td class="num sc">89.0</td> <td class="num sc">83.3</td>
550
+ <td class="num updated">2026-09-25</td>
551
+ </tr>
552
  <tr style="cursor:pointer" title="Open on llm-bench.io">
553
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-fp16-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-fp16-mtp</a>
554
  <span class="model-hw">Apple M2 Ultra</span></div></td>
 
569
  <td class="num sc">73.9</td> <td class="num sc">81.2</td> <td class="num sc">81.1</td> <td class="num sc">85.1</td>
570
  <td class="num updated">2026-09-12</td>
571
  </tr>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
572
  <tr style="cursor:pointer" title="Open on llm-bench.io">
573
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Dynamic-oQ5e-BF16-PLE-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Dynamic-oQ5e-BF16-PLE-mtp</a>
574
  <span class="model-hw">Apple M4 Max</span></div></td>
 
599
  <td class="num sc">75.9</td> <td class="num sc">76.9</td> <td class="num sc">84.4</td> <td class="num sc">80.6</td>
600
  <td class="num updated">2026-08-31</td>
601
  </tr>
602
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
603
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-Q4_K_S" target="_blank" rel="noopener">Qwen3.8-27B-Q4_K_S</a>
604
+ <span class="model-hw">AMD Radeon RX 6700/6700 XT/6750 XT / 6800M/6850M XT + AMD Radeon RX 6800/6800 XT / 6900 XT</span></div></td>
605
+ <td class="num vram">15 GB</td>
606
+ <td class="num">3</td>
607
+ <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>79.5</b></td>
608
+ <td class="num">36.1</td>
609
+ <td class="num sc">69.2</td> <td class="num sc">77.9</td> <td class="num sc">85.7</td> <td class="num sc">85.2</td>
610
+ <td class="num updated">2026-09-25</td>
611
+ </tr>
612
  <tr style="cursor:pointer" title="Open on llm-bench.io">
613
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-UD-Q3_K_XL" target="_blank" rel="noopener">Qwen3.8-27B-UD-Q3_K_XL</a>
614
  <span class="model-hw">NVIDIA GeForce RTX 5070 Ti</span></div></td>
 
629
  <td class="num sc">77.2</td> <td class="num sc">81.8</td> <td class="num sc">80.9</td> <td class="num sc">75.8</td>
630
  <td class="num updated">2026-09-01</td>
631
  </tr>
632
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
633
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
634
+ <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
635
+ <td class="num vram">8 GB</td>
636
+ <td class="num">4</td>
637
+ <td class="num"><span class="qbar"><i style="width:79%;background:#facc15"></i></span><b>78.8</b></td>
638
+ <td class="num">116.1</td>
639
+ <td class="num sc">75.0</td> <td class="num sc">71.5</td> <td class="num sc">84.3</td> <td class="num sc">84.2</td>
640
+ <td class="num updated">2026-09-23</td>
641
+ </tr>
642
  <tr style="cursor:pointer" title="Open on llm-bench.io">
643
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-Q5_K_M" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-Q5_K_M</a>
644
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
 
653
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=tiel-coder-35b-a3b-mtp" target="_blank" rel="noopener">tiel-coder-35b-a3b-mtp</a>
654
  <span class="model-hw">AMD Radeon RX 9050 / 9060 XT</span></div></td>
655
  <td class="num vram">15 GB</td>
656
+ <td class="num">6</td>
657
+ <td class="num"><span class="qbar"><i style="width:78%;background:#facc15"></i></span><b>78.3</b></td>
658
+ <td class="num">76.5</td>
659
+ <td class="num sc">65.5</td> <td class="num sc">82.1</td> <td class="num sc">83.0</td> <td class="num sc">82.5</td>
660
+ <td class="num updated">2026-09-22</td>
661
  </tr>
662
  <tr style="cursor:pointer" title="Open on llm-bench.io">
663
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-35B-A3B-Distill.Q4_K_M" target="_blank" rel="noopener">Qwen3.8-35B-A3B-Distill.Q4_K_M</a>
 
669
  <td class="num sc">69.8</td> <td class="num sc">77.3</td> <td class="num sc">89.1</td> <td class="num sc">74.9</td>
670
  <td class="num updated">2026-09-21</td>
671
  </tr>
672
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
673
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=nail-qwen3.6-35b-a3b" target="_blank" rel="noopener">nail-qwen3.6-35b-a3b</a>
674
+ <span class="model-hw">AMD Radeon RX 9050 / 9060 XT</span></div></td>
675
+ <td class="num vram">15 GB</td>
676
+ <td class="num">5</td>
677
+ <td class="num"><span class="qbar"><i style="width:77%;background:#facc15"></i></span><b>77.2</b></td>
678
+ <td class="num">73.1</td>
679
+ <td class="num sc">72.1</td> <td class="num sc">78.7</td> <td class="num sc">82.8</td> <td class="num sc">75.2</td>
680
+ <td class="num updated">2026-09-22</td>
681
+ </tr>
682
  <tr style="cursor:pointer" title="Open on llm-bench.io">
683
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-Q8_0" target="_blank" rel="noopener">Qwen3.8-27B-Q8_0</a>
684
  <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900M</span></div></td>
 
709
  <td class="num sc">70.3</td> <td class="num sc">83.8</td> <td class="num sc">71.6</td> <td class="num sc">76.7</td>
710
  <td class="num updated">2026-09-09</td>
711
  </tr>
712
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
713
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FOrnith-1.0-9B-GGUF" target="_blank" rel="noopener">unsloth/Ornith-1.0-9B-GGUF</a>
714
+ <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
715
+ <td class="num vram">11 GB</td>
716
+ <td class="num">3</td>
717
+ <td class="num"><span class="qbar"><i style="width:75%;background:#f87171"></i></span><b>74.7</b></td>
718
+ <td class="num">62.2</td>
719
+ <td class="num sc">61.5</td> <td class="num sc">80.4</td> <td class="num sc">78.6</td> <td class="num sc">78.4</td>
720
+ <td class="num updated">2026-09-26</td>
721
+ </tr>
722
  <tr style="cursor:pointer" title="Open on llm-bench.io">
723
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=gemma-4-26B-A4B-it-UD-IQ4_NL" target="_blank" rel="noopener">gemma-4-26B-A4B-it-UD-IQ4_NL</a>
724
  <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
 
729
  <td class="num sc">67.6</td> <td class="num sc">82.5</td> <td class="num sc">80.5</td> <td class="num sc">67.5</td>
730
  <td class="num updated">2026-09-12</td>
731
  </tr>
732
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
733
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ4_XS" target="_blank" rel="noopener">Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ4_XS</a>
734
+ <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
735
+ <td class="num vram">16 GB</td>
736
+ <td class="num">3</td>
737
+ <td class="num"><span class="qbar"><i style="width:74%;background:#f87171"></i></span><b>74.3</b></td>
738
+ <td class="num">38.3</td>
739
+ <td class="num sc">61.6</td> <td class="num sc">75.4</td> <td class="num sc">81.6</td> <td class="num sc">78.8</td>
740
+ <td class="num updated">2026-09-22</td>
741
+ </tr>
742
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
743
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-9B-Q6_K" target="_blank" rel="noopener">Ornith-1.5-9B-Q6_K</a>
744
+ <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
745
+ <td class="num vram">8 GB</td>
746
+ <td class="num">4</td>
747
+ <td class="num"><span class="qbar"><i style="width:73%;background:#f87171"></i></span><b>73.4</b></td>
748
+ <td class="num">57.6</td>
749
+ <td class="num sc">70.8</td> <td class="num sc">54.8</td> <td class="num sc">84.1</td> <td class="num sc">83.9</td>
750
+ <td class="num updated">2026-09-23</td>
751
+ </tr>
752
  <tr style="cursor:pointer" title="Open on llm-bench.io">
753
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-UD-IQ3_XXS" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-UD-IQ3_XXS</a>
754
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
 
786
  <td class="num">3</td>
787
  <td class="num"><span class="qbar"><i style="width:70%;background:#f87171"></i></span><b>69.5</b></td>
788
  <td class="num">169.9</td>
789
+ <td class="num sc">67.9</td> <td class="num sc">75.2</td> <td class="num sc">79.8</td> <td class="num sc">55.2</td>
790
  <td class="num updated">2026-09-05</td>
791
  </tr>
792
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
793
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.5-9B-MTP-GGUF" target="_blank" rel="noopener">unsloth/Qwen3.5-9B-MTP-GGUF</a>
794
+ <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
795
+ <td class="num vram">11 GB</td>
796
+ <td class="num">8</td>
797
+ <td class="num"><span class="qbar"><i style="width:68%;background:#f87171"></i></span><b>68.5</b></td>
798
+ <td class="num">92.1</td>
799
+ <td class="num sc">56.1</td> <td class="num sc">67.8</td> <td class="num sc">78.7</td> <td class="num sc">71.6</td>
800
+ <td class="num updated">2026-09-27</td>
801
+ </tr>
802
  <tr style="cursor:pointer" title="Open on llm-bench.io">
803
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.5-9b-mtp%40q8_0" target="_blank" rel="noopener">qwen3.5-9b-mtp@q8_0</a>
804
  <span class="model-hw">AMD Radeon RX 7600 XT</span></div></td>
 
809
  <td class="num sc">56.2</td> <td class="num sc">62.6</td> <td class="num sc">80.5</td> <td class="num sc">70.7</td>
810
  <td class="num updated">2026-09-11</td>
811
  </tr>
 
 
 
 
 
 
 
 
 
 
812
  <tr style="cursor:pointer" title="Open on llm-bench.io">
813
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mudler%2FQwen3.6-35B-A3B-APEX-MTP-GGUF" target="_blank" rel="noopener">mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF</a>
814
  <span class="model-hw">Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1</span></div></td>
 
816
  <td class="num">4</td>
817
  <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>66.8</b></td>
818
  <td class="num">31.6</td>
819
+ <td class="num sc">65.6</td> <td class="num sc">59.9</td> <td class="num sc">68.0</td> <td class="num sc">73.8</td>
820
  <td class="num updated">2026-09-01</td>
821
  </tr>
 
 
 
 
 
 
 
 
 
 
822
  <tr style="cursor:pointer" title="Open on llm-bench.io">
823
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL</a>
824
  <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td>
 
830
  <td class="num updated">2026-09-21</td>
831
  </tr>
832
  <tr style="cursor:pointer" title="Open on llm-bench.io">
833
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=google%2Fgemma-4-e2b" target="_blank" rel="noopener">google/gemma-4-e2b</a>
834
+ <span class="model-hw">Intel(R) Arc(TM) Pro 140T GPU (16GB) + NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU</span></div></td>
835
+ <td class="num vram">5 GB</td>
836
+ <td class="num">3</td>
837
+ <td class="num"><span class="qbar"><i style="width:63%;background:#f87171"></i></span><b>63.2</b></td>
838
+ <td class="num">46.7</td>
839
+ <td class="num sc">43.5</td> <td class="num sc">67.0</td> <td class="num sc">75.5</td> <td class="num sc">66.6</td>
840
+ <td class="num updated">2026-09-22</td>
841
  </tr>
842
  <tr style="cursor:pointer" title="Open on llm-bench.io">
843
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-9B-Distill-uncensored-heretic.i1-IQ3_M" target="_blank" rel="noopener">Qwen3.8-9B-Distill-uncensored-heretic.i1-IQ3_M</a>
 
860
  <td class="num updated">2026-09-14</td>
861
  </tr>
862
  <tr style="cursor:pointer" title="Open on llm-bench.io">
863
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ling-3.0-tiny-oQ8e" target="_blank" rel="noopener">Ling-3.0-tiny-oQ8e</a>
864
+ <span class="model-hw">Apple M4 Max</span></div></td>
865
+ <td class="num vram">128 GB</td>
 
 
 
 
 
 
 
 
 
 
866
  <td class="num">3</td>
867
+ <td class="num"><span class="qbar"><i style="width:59%;background:#f87171"></i></span><b>58.7</b></td>
868
+ <td class="num">126.0</td>
869
+ <td class="num sc">45.2</td> <td class="num sc">68.2</td> <td class="num sc">43.6</td> <td class="num sc">77.5</td>
870
+ <td class="num updated">2026-09-10</td>
871
  </tr>
872
  <tr style="cursor:pointer" title="Open on llm-bench.io">
873
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=30cmtonyfaker%2FQwen3.8-Flash-Next-REAP-288-MLX-Serve-4bit-MTP" target="_blank" rel="noopener">30cmtonyfaker/Qwen3.8-Flash-Next-REAP-288-MLX-Serve-4bit-MTP</a>
 
879
  <td class="num sc">7.6</td> <td class="num sc">61.5</td> <td class="num sc">78.8</td> <td class="num sc">68.2</td>
880
  <td class="num updated">2026-09-20</td>
881
  </tr>
882
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
883
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.8-27B-GGUF" target="_blank" rel="noopener">unsloth/Qwen3.8-27B-GGUF</a>
884
+ <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
885
+ <td class="num vram">11 GB</td>
886
+ <td class="num">8</td>
887
+ <td class="num"><span class="qbar"><i style="width:54%;background:#f87171"></i></span><b>54.0</b></td>
888
+ <td class="num">40.1</td>
889
+ <td class="num sc">8.1</td> <td class="num sc">71.2</td> <td class="num sc">81.1</td> <td class="num sc">55.4</td>
890
+ <td class="num updated">2026-09-27</td>
891
+ </tr>
892
  <tr style="cursor:pointer" title="Open on llm-bench.io">
893
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=LFM2.5-8B-A1B-Q4_K_M" target="_blank" rel="noopener">LFM2.5-8B-A1B-Q4_K_M</a>
894
  <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
 
943
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FLFM2.5-1.2B-Instruct-GGUF" target="_blank" rel="noopener">unsloth/LFM2.5-1.2B-Instruct-GGUF</a>
944
  <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
945
  <td class="num vram">11 GB</td>
946
+ <td class="num">6</td>
947
+ <td class="num"><span class="qbar"><i style="width:36%;background:#f87171"></i></span><b>35.5</b></td>
948
+ <td class="num">350.9</td>
949
+ <td class="num sc">6.8</td> <td class="num sc">61.6</td> <td class="num sc">51.7</td> <td class="num sc">21.9</td>
950
+ <td class="num updated">2026-09-26</td>
951
  </tr>
952
  <tr style="cursor:pointer" title="Open on llm-bench.io">
953
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FLFM2.5-1.2B-Thinking-GGUF" target="_blank" rel="noopener">unsloth/LFM2.5-1.2B-Thinking-GGUF</a>
954
  <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
955
  <td class="num vram">11 GB</td>
956
+ <td class="num">8</td>
957
+ <td class="num"><span class="qbar"><i style="width:31%;background:#f87171"></i></span><b>31.2</b></td>
958
+ <td class="num">321.5</td>
959
+ <td class="num sc">7.4</td> <td class="num sc">43.7</td> <td class="num sc">48.3</td> <td class="num sc">25.3</td>
960
+ <td class="num updated">2026-09-26</td>
961
+ </tr>
962
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
963
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.5-0.8B-MTP-GGUF" target="_blank" rel="noopener">unsloth/Qwen3.5-0.8B-MTP-GGUF</a>
964
+ <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
965
+ <td class="num vram">11 GB</td>
966
+ <td class="num">3</td>
967
+ <td class="num"><span class="qbar"><i style="width:24%;background:#f87171"></i></span><b>24.1</b></td>
968
+ <td class="num">239.4</td>
969
+ <td class="num sc">12.2</td> <td class="num sc">28.6</td> <td class="num sc">32.8</td> <td class="num sc">22.9</td>
970
+ <td class="num updated">2026-09-26</td>
971
+ </tr>
972
+ <tr style="cursor:pointer" title="Open on llm-bench.io">
973
+ <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FLFM2.5-VL-1.6B-GGUF" target="_blank" rel="noopener">unsloth/LFM2.5-VL-1.6B-GGUF</a>
974
+ <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td>
975
+ <td class="num vram">11 GB</td>
976
+ <td class="num">3</td>
977
+ <td class="num"><span class="qbar"><i style="width:21%;background:#f87171"></i></span><b>20.6</b></td>
978
+ <td class="num">848.6</td>
979
+ <td class="num sc">4.3</td> <td class="num sc">11.7</td> <td class="num sc">39.1</td> <td class="num sc">27.1</td>
980
+ <td class="num updated">2026-09-26</td>
981
  </tr>
982
  <tr style="cursor:pointer" title="Open on llm-bench.io">
983
  <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ2e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ2e-mtp</a>
 
994
  </div>
995
 
996
  <footer>
997
+ <span>Updated on: <b id="gen">27 Sep 2026</b></span>
998
  <span>·</span>
999
  <span>Data contains runs of the last <b id="win">30</b> days</span>
1000
  <span>·</span>