Download index.html from llmbenchio/llm-bench.io-leaderboard: direct link, hf CLI and curl.
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https://huggingface.co/spaces/llmbenchio/llm-bench.io-leaderboard/resolve/a3a39a796b9399dd00663df5ed317db499e003e2/index.html
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hf download hf://spaces/llmbenchio/llm-bench.io-leaderboard@a3a39a796b9399dd00663df5ed317db499e003e2/index.html
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curl -L -o index.html https://huggingface.co/spaces/llmbenchio/llm-bench.io-leaderboard/resolve/a3a39a796b9399dd00663df5ed317db499e003e2/index.html
67.8 kB
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>llm-bench.io — Local LLM Leaderboard</title> | |
| <meta name="description" content="Live leaderboard of local LLMs benchmarked on real hardware — quality, speed, and VRAM requirements. Powered by llm-bench.io."> | |
| <style> | |
| :root{ | |
| --bg:#0b0e14; --panel:#11151f; --panel2:#161b28; --border:#232a3b; | |
| --text:#e8ecf4; --muted:#8b94a7; --accent:#5b8cff; --accent2:#7c5bff; | |
| --good:#4ade80; --mid:#facc15; --bad:#f87171; | |
| } | |
| *{box-sizing:border-box;margin:0;padding:0} | |
| body{background:var(--bg);color:var(--text);font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,Helvetica,Arial,sans-serif;line-height:1.5;padding:24px 16px 60px} | |
| .wrap{max-width:1180px;margin:0 auto} | |
| header{display:flex;align-items:baseline;gap:12px;flex-wrap:wrap;margin-bottom:6px} | |
| h1{font-size:24px;font-weight:700} | |
| h1 .dot{color:var(--accent)} | |
| .sub{color:var(--muted);font-size:13px;margin-bottom:18px} | |
| .sub a{color:var(--accent);text-decoration:none} | |
| .sub a:hover{text-decoration:underline} | |
| .toolbar{display:flex;gap:10px;flex-wrap:wrap;align-items:center;margin-bottom:14px} | |
| .chips{display:flex;gap:6px;flex-wrap:wrap} | |
| .chip{background:var(--panel);border:1px solid var(--border);color:var(--muted);border-radius:999px;padding:5px 12px;font-size:12.5px;cursor:pointer;user-select:none;transition:all .15s} | |
| .chip:hover{color:var(--text);border-color:#3a445c} | |
| .chip.active{background:var(--accent);border-color:var(--accent);color:#fff} | |
| .search{margin-left:auto;background:var(--panel);border:1px solid var(--border);border-radius:8px;color:var(--text);padding:7px 12px;font-size:13px;min-width:200px} | |
| .search::placeholder{color:var(--muted)} | |
| .meta{color:var(--muted);font-size:12px;margin-bottom:10px;display:flex;gap:16px;flex-wrap:wrap} | |
| .meta b{color:var(--text);font-weight:600} | |
| .card{background:var(--panel);border:1px solid var(--border);border-radius:12px;overflow:auto} | |
| table{width:100%;border-collapse:collapse;font-size:13px;min-width:900px} | |
| th,td{padding:9px 12px;text-align:left;border-bottom:1px solid var(--border);white-space:nowrap} | |
| th{position:sticky;top:0;background:var(--panel2);color:var(--muted);font-size:11.5px;text-transform:uppercase;letter-spacing:.04em;cursor:pointer;user-select:none;z-index:1} | |
| th:hover{color:var(--text)} | |
| th .arrow{font-size:10px;margin-left:3px;opacity:.7} | |
| td.num,th.num{text-align:right;font-variant-numeric:tabular-nums} | |
| tr:hover td{background:rgba(91,140,255,.05)} | |
| .model-cell{display:flex;flex-direction:column;gap:1px;max-width:340px} | |
| .model-name{font-weight:600;color:var(--text);overflow:hidden;text-overflow:ellipsis} | |
| .model-hw{color:var(--muted);font-size:11.5px;overflow:hidden;text-overflow:ellipsis} | |
| .vram{color:var(--accent2);font-weight:600} | |
| .qbar{display:inline-block;width:52px;height:5px;border-radius:3px;background:var(--border);vertical-align:middle;margin-right:7px;overflow:hidden} | |
| .qbar i{display:block;height:100%;border-radius:3px} | |
| .sc{color:var(--text)} | |
| .sc.dim{color:var(--muted)} | |
| .updated{color:var(--muted);font-size:11.5px} | |
| footer{margin-top:22px;color:var(--muted);font-size:12px;display:flex;gap:8px;flex-wrap:wrap;align-items:center} | |
| footer a{color:var(--accent);text-decoration:none} | |
| footer a:hover{text-decoration:underline} | |
| .empty{padding:40px;text-align:center;color:var(--muted)} | |
| @media(max-width:700px){ .search{margin-left:0;width:100%} } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="wrap"> | |
| <header> | |
| <h1>llm-bench<span class="dot">.io</span> — Local LLM Leaderboard</h1> | |
| </header> | |
| <div class="sub"> | |
| Real-world benchmarks from actual users — LLM-judged <b>quality</b> and <b>speed</b> across coding, agent, role-play & research tasks, grouped by VRAM. | |
| <a href="https://llm-bench.io" target="_blank" rel="noopener">Run your own test →</a> | |
| </div> | |
| <div class="toolbar"> | |
| <div class="chips" id="vramChips"></div> | |
| <input class="search" id="search" type="search" placeholder="Filter model name…" aria-label="Filter models"> | |
| </div> | |
| <div class="meta" id="meta"> | |
| <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> | |
| </div> | |
| <div class="card"> | |
| <table> | |
| <thead> | |
| <tr> | |
| <th data-sort="model">Model</th> | |
| <th data-sort="vram" class="num">VRAM</th> | |
| <th data-sort="runs" class="num">Runs</th> | |
| <th data-sort="quality" class="num">Quality</th> | |
| <th data-sort="speed" class="num">Speed (tok/s)</th> | |
| <th data-sort="coding_agent" class="num">Coding</th> | |
| <th data-sort="openclaw" class="num">Agent</th> | |
| <th data-sort="roleplay" class="num">Role-Play</th> | |
| <th data-sort="research" class="num">Research</th> | |
| <th data-sort="updated" class="num">Updated</th> | |
| </tr> | |
| </thead> | |
| <tbody id="rows"> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:87%;background:#4ade80"></i></span><b>87.2</b></td> | |
| <td class="num">35.0</td> | |
| <td class="num sc">78.4</td> <td class="num sc">90.6</td> <td class="num sc">92.4</td> <td class="num sc">87.6</td> | |
| <td class="num updated">2026-09-01</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.8-27B-GGUF%3AIQ3_S" target="_blank" rel="noopener">unsloth/Qwen3.8-27B-GGUF:IQ3_S</a> | |
| <span class="model-hw">NVIDIA GeForce RTX 4090</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:87%;background:#4ade80"></i></span><b>86.9</b></td> | |
| <td class="num">108.6</td> | |
| <td class="num sc">83.3</td> <td class="num sc">86.2</td> <td class="num sc">90.3</td> <td class="num sc">87.9</td> | |
| <td class="num updated">2026-08-29</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.8-27b-gsq-rco" target="_blank" rel="noopener">qwen3.8-27b-gsq-rco</a> | |
| <span class="model-hw">AMD Radeon RX 9070/9070 XT/9070 GRE</span></div></td> | |
| <td class="num vram">15 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>86.1</b></td> | |
| <td class="num">32.6</td> | |
| <td class="num sc">75.8</td> <td class="num sc">88.1</td> <td class="num sc">92.4</td> <td class="num sc">88.0</td> | |
| <td class="num updated">2026-09-15</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.8</b></td> | |
| <td class="num">112.0</td> | |
| <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> | |
| <td class="num updated">2026-09-11</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.7</b></td> | |
| <td class="num">35.5</td> | |
| <td class="num sc">77.7</td> <td class="num sc">85.2</td> <td class="num sc">93.1</td> <td class="num sc">86.7</td> | |
| <td class="num updated">2026-09-02</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Dirk-Qwen3.8-27B-UD-IQ4_XS" target="_blank" rel="noopener">Dirk-Qwen3.8-27B-UD-IQ4_XS</a> | |
| <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td> | |
| <td class="num vram">8 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.5</b></td> | |
| <td class="num">37.5</td> | |
| <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> | |
| <td class="num updated">2026-09-17</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 XT + AMD Radeon RX 9060 XT</span></div></td> | |
| <td class="num vram">7 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.5</b></td> | |
| <td class="num">35.1</td> | |
| <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> | |
| <td class="num updated">2026-09-04</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 7900 XTX</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">15</td> | |
| <td class="num"><span class="qbar"><i style="width:85%;background:#4ade80"></i></span><b>85.4</b></td> | |
| <td class="num">52.4</td> | |
| <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> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:85%;background:#4ade80"></i></span><b>85.1</b></td> | |
| <td class="num">162.4</td> | |
| <td class="num sc">79.2</td> <td class="num sc">87.8</td> <td class="num sc">88.9</td> <td class="num sc">84.6</td> | |
| <td class="num updated">2026-09-19</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.8-27B-GGUF%3AQ4_K_M" target="_blank" rel="noopener">unsloth/Qwen3.8-27B-GGUF:Q4_K_M</a> | |
| <span class="model-hw">NVIDIA GeForce RTX 4090</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">6</td> | |
| <td class="num"><span class="qbar"><i style="width:85%;background:#4ade80"></i></span><b>85.1</b></td> | |
| <td class="num">95.3</td> | |
| <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> | |
| <td class="num updated">2026-08-29</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:85%;background:#4ade80"></i></span><b>85.0</b></td> | |
| <td class="num">57.5</td> | |
| <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> | |
| <td class="num updated">2026-09-01</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:85%;background:#facc15"></i></span><b>84.9</b></td> | |
| <td class="num">50.7</td> | |
| <td class="num sc">80.6</td> <td class="num sc">83.7</td> <td class="num sc">86.9</td> <td class="num sc">88.5</td> | |
| <td class="num updated">2026-09-08</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Pro</span></div></td> | |
| <td class="num vram">48 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>84.3</b></td> | |
| <td class="num">70.1</td> | |
| <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> | |
| <td class="num updated">2026-09-20</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">25</td> | |
| <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>84.0</b></td> | |
| <td class="num">44.7</td> | |
| <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> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.9</b></td> | |
| <td class="num">17.0</td> | |
| <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> | |
| <td class="num updated">2026-08-29</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 4080 SUPER</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.8</b></td> | |
| <td class="num">73.6</td> | |
| <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> | |
| <td class="num updated">2026-09-04</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.6</b></td> | |
| <td class="num">48.5</td> | |
| <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> | |
| <td class="num updated">2026-09-11</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.4</b></td> | |
| <td class="num">118.4</td> | |
| <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> | |
| <td class="num updated">2026-08-25</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td> | |
| <td class="num vram">8 GB</td> | |
| <td class="num">6</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.4</b></td> | |
| <td class="num">102.1</td> | |
| <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> | |
| <td class="num updated">2026-09-11</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-oQ6e-mtp" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-oQ6e-mtp</a> | |
| <span class="model-hw">Apple M4 Pro</span></div></td> | |
| <td class="num vram">48 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.4</b></td> | |
| <td class="num">59.2</td> | |
| <td class="num sc">76.5</td> <td class="num sc">88.2</td> <td class="num sc">86.4</td> <td class="num sc">82.7</td> | |
| <td class="num updated">2026-09-15</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td> | |
| <td class="num">95.1</td> | |
| <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> | |
| <td class="num updated">2026-09-07</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">79</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td> | |
| <td class="num">55.2</td> | |
| <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> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">40</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.3</b></td> | |
| <td class="num">44.9</td> | |
| <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> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 4080 SUPER</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">48</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.2</b></td> | |
| <td class="num">78.8</td> | |
| <td class="num sc">77.8</td> <td class="num sc">81.6</td> <td class="num sc">87.8</td> <td class="num sc">85.7</td> | |
| <td class="num updated">2026-09-05</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=dirk-qwen3.8-27b%40iq3_xxs" target="_blank" rel="noopener">dirk-qwen3.8-27b@iq3_xxs</a> | |
| <span class="model-hw">AMD Radeon RX 9070/9070 XT/9070 GRE</span></div></td> | |
| <td class="num vram">15 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.2</b></td> | |
| <td class="num">18.8</td> | |
| <td class="num sc">74.5</td> <td class="num sc">87.1</td> <td class="num sc">84.9</td> <td class="num sc">86.3</td> | |
| <td class="num updated">2026-09-14</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">37</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.0</b></td> | |
| <td class="num">34.0</td> | |
| <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> | |
| <td class="num updated">2026-09-20</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>82.9</b></td> | |
| <td class="num">51.8</td> | |
| <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> | |
| <td class="num updated">2026-09-12</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 5070 Ti</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>82.3</b></td> | |
| <td class="num">48.6</td> | |
| <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> | |
| <td class="num updated">2026-09-15</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>82.1</b></td> | |
| <td class="num">123.7</td> | |
| <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> | |
| <td class="num updated">2026-09-07</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">14</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>82.1</b></td> | |
| <td class="num">47.8</td> | |
| <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> | |
| <td class="num updated">2026-09-13</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">79</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.9</b></td> | |
| <td class="num">56.0</td> | |
| <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> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">21</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.9</b></td> | |
| <td class="num">53.8</td> | |
| <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> | |
| <td class="num updated">2026-09-13</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td> | |
| <td class="num vram">8 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.7</b></td> | |
| <td class="num">108.1</td> | |
| <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> | |
| <td class="num updated">2026-09-11</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">26</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.7</b></td> | |
| <td class="num">33.6</td> | |
| <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> | |
| <td class="num updated">2026-09-20</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td> | |
| <td class="num vram">8 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.5</b></td> | |
| <td class="num">115.7</td> | |
| <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> | |
| <td class="num updated">2026-09-10</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">15</td> | |
| <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.5</b></td> | |
| <td class="num">72.4</td> | |
| <td class="num sc">78.7</td> <td class="num sc">76.5</td> <td class="num sc">85.7</td> <td class="num sc">85.0</td> | |
| <td class="num updated">2026-09-05</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Q6Experts-g128-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Q6Experts-g128-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8</a> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>81.3</b></td> | |
| <td class="num">59.5</td> | |
| <td class="num sc">69.3</td> <td class="num sc">84.2</td> <td class="num sc">91.5</td> <td class="num sc">80.0</td> | |
| <td class="num updated">2026-09-12</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-GPTQ6Experts-Q6Attn-BF16-PLE-MLX-MTP-Q8-GPTQ4Head" target="_blank" rel="noopener">Qwen3.8-Flash-Next-GPTQ6Experts-Q6Attn-BF16-PLE-MLX-MTP-Q8-GPTQ4Head</a> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>81.1</b></td> | |
| <td class="num">63.8</td> | |
| <td class="num sc">70.3</td> <td class="num sc">85.2</td> <td class="num sc">87.0</td> <td class="num sc">82.0</td> | |
| <td class="num updated">2026-09-12</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>81.0</b></td> | |
| <td class="num">38.3</td> | |
| <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> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 3080 Ti + NVIDIA GeForce RTX 3080</span></div></td> | |
| <td class="num vram">20 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>80.8</b></td> | |
| <td class="num">180.6</td> | |
| <td class="num sc">74.1</td> <td class="num sc">85.8</td> <td class="num sc">83.6</td> <td class="num sc">79.9</td> | |
| <td class="num updated">2026-09-14</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-IQ4_XS" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-IQ4_XS</a> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>80.7</b></td> | |
| <td class="num">139.5</td> | |
| <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> | |
| <td class="num updated">2026-09-05</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M2 Ultra</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">13</td> | |
| <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>80.7</b></td> | |
| <td class="num">34.1</td> | |
| <td class="num sc">72.7</td> <td class="num sc">77.3</td> <td class="num sc">88.2</td> <td class="num sc">84.6</td> | |
| <td class="num updated">2026-09-04</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Nex-N2.5-mini-MLX-4bit" target="_blank" rel="noopener">Nex-N2.5-mini-MLX-4bit</a> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">20</td> | |
| <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>80.3</b></td> | |
| <td class="num">137.0</td> | |
| <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> | |
| <td class="num updated">2026-09-12</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td> | |
| <td class="num vram">8 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>80.2</b></td> | |
| <td class="num">88.1</td> | |
| <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> | |
| <td class="num updated">2026-09-15</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td> | |
| <td class="num vram">10 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>80.1</b></td> | |
| <td class="num">31.2</td> | |
| <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> | |
| <td class="num updated">2026-08-25</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>79.7</b></td> | |
| <td class="num">52.4</td> | |
| <td class="num sc">62.7</td> <td class="num sc">83.4</td> <td class="num sc">88.5</td> <td class="num sc">84.0</td> | |
| <td class="num updated">2026-09-14</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen38-27b" target="_blank" rel="noopener">qwen38-27b</a> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">6</td> | |
| <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>79.6</b></td> | |
| <td class="num">72.7</td> | |
| <td class="num sc">67.5</td> <td class="num sc">77.3</td> <td class="num sc">88.7</td> <td class="num sc">85.0</td> | |
| <td class="num updated">2026-09-08</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-UD-Q6_K_XL" target="_blank" rel="noopener">Qwen3.8-27B-UD-Q6_K_XL</a> | |
| <span class="model-hw">NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition</span></div></td> | |
| <td class="num vram">96 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>79.5</b></td> | |
| <td class="num">84.3</td> | |
| <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> | |
| <td class="num updated">2026-08-31</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 5070 Ti</span></div></td> | |
| <td class="num vram">15 GB</td> | |
| <td class="num">10</td> | |
| <td class="num"><span class="qbar"><i style="width:79%;background:#facc15"></i></span><b>79.1</b></td> | |
| <td class="num">62.5</td> | |
| <td class="num sc">59.0</td> <td class="num sc">87.3</td> <td class="num sc">92.2</td> <td class="num sc">78.1</td> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=peculiar-ragdoll%2FTiel-Coder-35B-A3B-GGUF-MTP" target="_blank" rel="noopener">peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP</a> | |
| <span class="model-hw">Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:79%;background:#facc15"></i></span><b>78.9</b></td> | |
| <td class="num">26.8</td> | |
| <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> | |
| <td class="num updated">2026-09-01</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:78%;background:#facc15"></i></span><b>78.4</b></td> | |
| <td class="num">33.4</td> | |
| <td class="num sc">71.9</td> <td class="num sc">82.8</td> <td class="num sc">83.3</td> <td class="num sc">75.5</td> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 9050 / 9060 XT</span></div></td> | |
| <td class="num vram">15 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:78%;background:#facc15"></i></span><b>77.8</b></td> | |
| <td class="num">80.2</td> | |
| <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> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:78%;background:#facc15"></i></span><b>77.8</b></td> | |
| <td class="num">41.2</td> | |
| <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> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">22</td> | |
| <td class="num"><span class="qbar"><i style="width:77%;background:#facc15"></i></span><b>76.8</b></td> | |
| <td class="num">59.6</td> | |
| <td class="num sc">71.7</td> <td class="num sc">75.8</td> <td class="num sc">82.0</td> <td class="num sc">77.8</td> | |
| <td class="num updated">2026-09-16</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.6-35B-A3B-IQ4_NL" target="_blank" rel="noopener">Qwen3.6-35B-A3B-IQ4_NL</a> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">17</td> | |
| <td class="num"><span class="qbar"><i style="width:76%;background:#facc15"></i></span><b>75.9</b></td> | |
| <td class="num">164.8</td> | |
| <td class="num sc">67.1</td> <td class="num sc">74.7</td> <td class="num sc">83.0</td> <td class="num sc">78.7</td> | |
| <td class="num updated">2026-09-05</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=gpt-oss-20b-UD-Q8_K_XL" target="_blank" rel="noopener">gpt-oss-20b-UD-Q8_K_XL</a> | |
| <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td> | |
| <td class="num vram">8 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:76%;background:#facc15"></i></span><b>75.6</b></td> | |
| <td class="num">148.4</td> | |
| <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> | |
| <td class="num updated">2026-09-09</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td> | |
| <td class="num vram">8 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:74%;background:#f87171"></i></span><b>74.5</b></td> | |
| <td class="num">83.2</td> | |
| <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> | |
| <td class="num updated">2026-09-12</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:73%;background:#f87171"></i></span><b>72.6</b></td> | |
| <td class="num">57.2</td> | |
| <td class="num sc">67.1</td> <td class="num sc">73.1</td> <td class="num sc">73.5</td> <td class="num sc">76.5</td> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=gemma4%3A12b-it-qat" target="_blank" rel="noopener">gemma4:12b-it-qat</a> | |
| <span class="model-hw">AMD Radeon RX 7800 XT</span></div></td> | |
| <td class="num vram">15 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:71%;background:#f87171"></i></span><b>70.9</b></td> | |
| <td class="num">47.3</td> | |
| <td class="num sc">65.0</td> <td class="num sc">74.4</td> <td class="num sc">75.5</td> <td class="num sc">68.8</td> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ddalcu%2FQwen3.8-Flash-Next-MLX-Serve-mixed-4-8bit" target="_blank" rel="noopener">ddalcu/Qwen3.8-Flash-Next-MLX-Serve-mixed-4-8bit</a> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:71%;background:#f87171"></i></span><b>70.6</b></td> | |
| <td class="num">71.5</td> | |
| <td class="num sc">52.5</td> <td class="num sc">72.1</td> <td class="num sc">79.0</td> <td class="num sc">78.9</td> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=gemma-4-26b-a4b-q4kxl" target="_blank" rel="noopener">gemma-4-26b-a4b-q4kxl</a> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:70%;background:#f87171"></i></span><b>69.5</b></td> | |
| <td class="num">169.9</td> | |
| <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> | |
| <td class="num updated">2026-09-05</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">AMD Radeon RX 7600 XT</span></div></td> | |
| <td class="num vram">15 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:68%;background:#f87171"></i></span><b>67.5</b></td> | |
| <td class="num">41.8</td> | |
| <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> | |
| <td class="num updated">2026-09-11</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td> | |
| <td class="num vram">10 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>67.0</b></td> | |
| <td class="num">33.1</td> | |
| <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> | |
| <td class="num updated">2026-08-26</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>66.8</b></td> | |
| <td class="num">31.6</td> | |
| <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> | |
| <td class="num updated">2026-09-01</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td> | |
| <td class="num vram">10 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>66.7</b></td> | |
| <td class="num">15.2</td> | |
| <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> | |
| <td class="num updated">2026-08-25</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:63%;background:#f87171"></i></span><b>63.4</b></td> | |
| <td class="num">38.5</td> | |
| <td class="num sc">73.7</td> <td class="num sc">74.5</td> <td class="num sc">35.8</td> <td class="num sc">69.6</td> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M4 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:60%;background:#f87171"></i></span><b>60.1</b></td> | |
| <td class="num">124.9</td> | |
| <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> | |
| <td class="num updated">2026-09-10</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Tesla P100-PCIE-16GB</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:60%;background:#f87171"></i></span><b>59.7</b></td> | |
| <td class="num">34.3</td> | |
| <td class="num sc">36.3</td> <td class="num sc">68.5</td> <td class="num sc">69.6</td> <td class="num sc">64.5</td> | |
| <td class="num updated">2026-09-21</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.8%2027b" target="_blank" rel="noopener">qwen3.8 27b</a> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:59%;background:#f87171"></i></span><b>58.9</b></td> | |
| <td class="num">51.8</td> | |
| <td class="num sc">26.6</td> <td class="num sc">83.6</td> <td class="num sc">85.1</td> <td class="num sc">40.1</td> | |
| <td class="num updated">2026-09-14</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td> | |
| <td class="num vram">11 GB</td> | |
| <td class="num">5</td> | |
| <td class="num"><span class="qbar"><i style="width:56%;background:#f87171"></i></span><b>56.0</b></td> | |
| <td class="num">39.3</td> | |
| <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> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td> | |
| <td class="num vram">10 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:54%;background:#f87171"></i></span><b>54.3</b></td> | |
| <td class="num">93.8</td> | |
| <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> | |
| <td class="num updated">2026-08-25</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">128 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:54%;background:#f87171"></i></span><b>54.0</b></td> | |
| <td class="num">77.4</td> | |
| <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> | |
| <td class="num updated">2026-09-20</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td> | |
| <td class="num vram">11 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:50%;background:#f87171"></i></span><b>50.4</b></td> | |
| <td class="num">281.2</td> | |
| <td class="num sc">9.1</td> <td class="num sc">72.6</td> <td class="num sc">70.9</td> <td class="num sc">48.8</td> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-Q8_0" target="_blank" rel="noopener">Ornith-1.5-35B-Q8_0</a> | |
| <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900M</span></div></td> | |
| <td class="num vram">23 GB</td> | |
| <td class="num">7</td> | |
| <td class="num"><span class="qbar"><i style="width:50%;background:#f87171"></i></span><b>49.9</b></td> | |
| <td class="num">73.1</td> | |
| <td class="num sc">46.9</td> <td class="num sc">51.6</td> <td class="num sc">52.0</td> <td class="num sc">49.2</td> | |
| <td class="num updated">2026-09-15</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ling-oq4e" target="_blank" rel="noopener">ling-oq4e</a> | |
| <span class="model-hw">Apple M1</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:46%;background:#f87171"></i></span><b>46.1</b></td> | |
| <td class="num">47.6</td> | |
| <td class="num sc">6.2</td> <td class="num sc">64.1</td> <td class="num sc">59.5</td> <td class="num sc">54.8</td> | |
| <td class="num updated">2026-09-12</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FNVIDIA-Nemotron-3-Nano-4B-GGUF" target="_blank" rel="noopener">unsloth/NVIDIA-Nemotron-3-Nano-4B-GGUF</a> | |
| <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td> | |
| <td class="num vram">11 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:44%;background:#f87171"></i></span><b>44.1</b></td> | |
| <td class="num">92.8</td> | |
| <td class="num sc">11.8</td> <td class="num sc">61.1</td> <td class="num sc">51.5</td> <td class="num sc">52.0</td> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ling-oq8e" target="_blank" rel="noopener">ling-oq8e</a> | |
| <span class="model-hw">Apple M1</span></div></td> | |
| <td class="num vram">16 GB</td> | |
| <td class="num">6</td> | |
| <td class="num"><span class="qbar"><i style="width:44%;background:#f87171"></i></span><b>44.0</b></td> | |
| <td class="num">33.8</td> | |
| <td class="num sc">6.0</td> <td class="num sc">73.7</td> <td class="num sc">45.3</td> <td class="num sc">51.1</td> | |
| <td class="num updated">2026-09-12</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td> | |
| <td class="num vram">11 GB</td> | |
| <td class="num">4</td> | |
| <td class="num"><span class="qbar"><i style="width:34%;background:#f87171"></i></span><b>34.2</b></td> | |
| <td class="num">359.2</td> | |
| <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> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">NVIDIA GeForce RTX 4070</span></div></td> | |
| <td class="num vram">11 GB</td> | |
| <td class="num">7</td> | |
| <td class="num"><span class="qbar"><i style="width:31%;background:#f87171"></i></span><b>31.1</b></td> | |
| <td class="num">319.5</td> | |
| <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> | |
| <td class="num updated">2026-09-18</td> | |
| </tr> | |
| <tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <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> | |
| <span class="model-hw">Apple M5 Max</span></div></td> | |
| <td class="num vram">64 GB</td> | |
| <td class="num">3</td> | |
| <td class="num"><span class="qbar"><i style="width:10%;background:#f87171"></i></span><b>10.3</b></td> | |
| <td class="num">44.0</td> | |
| <td class="num sc">0.0</td> <td class="num sc">28.0</td> <td class="num sc">7.7</td> <td class="num sc">5.6</td> | |
| <td class="num updated">2026-08-30</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| </div> | |
| <footer> | |
| <span>Updated on: <b id="gen">21 Sep 2026</b></span> | |
| <span>·</span> | |
| <span>Data contains runs of the last <b id="win">30</b> days</span> | |
| <span>·</span> | |
| <span>No model with less than <b id="minr">3</b> runs included</span> | |
| <span>·</span> | |
| <span>Methodology: <a href="https://llm-bench.io/benchmark-methodology" target="_blank" rel="noopener">how we measure</a></span> | |
| <span>·</span> | |
| <span>Dataset on Hugging Face: <a href="https://huggingface.co/datasets/llmbenchio/benchmarks-by-vram" target="_blank" rel="noopener">llmbenchio/benchmarks-by-vram</a></span> | |
| </footer> | |
| </div> | |
| <script> | |
| let DATA=null, sortKey="quality", sortDir=-1, vramFilter=null, query=""; | |
| async function init(){ | |
| // Table rows + meta are pre-rendered at build time (static view for the | |
| // no-JS org card / crawlers). data.json enables interactive | |
| // filtering + sorting on the live Space page. | |
| try{ | |
| DATA = await (await fetch("data.json")).json(); | |
| }catch(e){ DATA=null; } | |
| if(!DATA) return; | |
| renderChips(); bindHeader(); bindSearch(); render(); | |
| } | |
| function renderChips(){ | |
| const vals=[...new Set(DATA.rows.map(r=>r.vram))].sort((a,b)=>a-b); | |
| const box=document.getElementById("vramChips"); | |
| const all=document.createElement("div"); | |
| all.className="chip active"; all.textContent="All VRAM"; | |
| all.onclick=()=>{vramFilter=null;[...box.children].forEach(c=>c.classList.remove("active"));all.classList.add("active");render();}; | |
| box.appendChild(all); | |
| for(const v of vals){ | |
| const c=document.createElement("div"); | |
| c.className="chip"; c.textContent=v+" GB"; | |
| c.onclick=()=>{vramFilter=v;[...box.children].forEach(x=>x.classList.remove("active"));c.classList.add("active");render();}; | |
| box.appendChild(c); | |
| } | |
| } | |
| function bindHeader(){ | |
| document.querySelectorAll("th[data-sort]").forEach(th=>{ | |
| th.addEventListener("click",()=>{ | |
| const k=th.dataset.sort; | |
| if(sortKey===k) sortDir*=-1; else {sortKey=k;sortDir=(k==="model"?1:-1);} | |
| render(); | |
| }); | |
| }); | |
| } | |
| function bindSearch(){ | |
| document.getElementById("search").addEventListener("input",e=>{query=e.target.value.toLowerCase();render();}); | |
| } | |
| function qColor(v){ if(v==null)return "var(--bad)"; if(v>=85)return "var(--good)"; if(v>=75)return "var(--mid)"; return "var(--bad)"; } | |
| function esc(s){ return String(s).replace(/[&<>"']/g,c=>({"&":"&","<":"<",">":">",'"':""","'":"'"}[c])); } | |
| function render(){ | |
| let rows=DATA.rows.slice(); | |
| if(vramFilter!=null) rows=rows.filter(r=>r.vram===vramFilter); | |
| if(query) rows=rows.filter(r=>r.model.toLowerCase().includes(query)); | |
| rows.sort((a,b)=>{ | |
| // scenario values are nested under r.scenarios; other keys are top-level | |
| const val=r=>{ const v=(sortKey in r)?r[sortKey]:r.scenarios?.[sortKey]; return v==null?-1:v; }; | |
| let x=val(a), y=val(b); | |
| if(typeof x==="string"||typeof y==="string") return sortDir*String(x).localeCompare(String(y)); | |
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| }); | |
| const tb=document.getElementById("rows"); | |
| if(!rows.length){ tb.innerHTML='<tr><td colspan="10" class="empty">No models match this filter.</td></tr>'; return; } | |
| tb.innerHTML=rows.map(r=>{ | |
| const link=`https://llm-bench.io/benchmarks?model=${encodeURIComponent(r.model)}`; | |
| const sc=k=>r.scenarios[k]!=null | |
| ? `<td class="num sc">${r.scenarios[k].toFixed(1)}</td>` | |
| : `<td class="num sc dim">–</td>`; | |
| const q=r.quality; | |
| const qCell=q!=null | |
| ? `<td class="num"><span class="qbar"><i style="width:${Math.max(0,Math.min(100,q))}%;background:${qColor(q)}"></i></span><b>${q.toFixed(1)}</b></td>` | |
| : `<td class="num sc dim">–</td>`; | |
| return `<tr style="cursor:pointer" title="Open on llm-bench.io"> | |
| <td><div class="model-cell"><a class="model-name" href="${link}" target="_blank" rel="noopener" onclick="event.stopPropagation()">${esc(r.model)}</a><span class="model-hw">${esc(r.hardware)}</span></div></td> | |
| <td class="num vram">${r.vram} GB</td> | |
| <td class="num">${r.runs}</td> | |
| ${qCell} | |
| <td class="num">${r.speed!=null?r.speed.toFixed(1):"–"}</td> | |
| ${sc("coding_agent")}${sc("openclaw")}${sc("roleplay")}${sc("research")} | |
| <td class="num updated">${r.updated}</td> | |
| </tr>`; | |
| }).join(""); | |
| document.getElementById("meta").innerHTML= | |
| `<span><b>${rows.length}</b> models</span>`+ | |
| `<span><b>${DATA.inWindow}</b> submissions in window</span>`+ | |
| `<span>of <b>${DATA.totalSubmissions}</b> total on llm-bench.io</span>`; | |
| } | |
| init(); | |
| </script> | |
| </body> | |
| </html> | |