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{
"adapter_name": "mimo-v2.6-rl",
"agent": "opencode@1.18.32 (mimo_opencode)",
"model": "zai-org/GLM-5.3 via deepinfra, reasoning_effort low",
"date": "2026-09-27",
"adapted_benchmark_size": 7780,
"parity_benchmark_size": 36,
"number_of_runs": 3,
"notes": "Original side: the MiMo RL Environment Explorer runner (Xiaomi's harness: XiaomiMiMo/verl a2ad9f6 + mimoagent 467f0a1). Parity subset: 6 tasks per dataset, fixed by sha256(task id) (--split parity). Same agent version, model, provider, thinking level, step limits, 65,536-token replies, judges (Inkling, Llama-4-Maverick) and sandbox flavors on both sides. Per-run score = mean reward over the tasks that side scored; trials that failed for infrastructure reasons (sandbox API timeouts) were rerun, and arvo_49407 run 1 failed on both sides (the agent starved a 2-vCPU sandbox) and is excluded on both. Music differs by design: one completion on the original side, up to 4 write-only steps in Harbor.",
"original_parity_repo": "https://github.com/adithya-s-k/FineEnvs/tree/mimo-explorer-rollouts/mimo-explorer",
"adapter_pr": [],
"dataset_pr": [],
"parity_pr": [],
"metrics": [
{
"benchmark_name": "MiMo-V2.6-RL Code",
"metric": "mean reward",
"original": "0.556 ± 0.056",
"harbor": "0.556 ± 0.056",
"original_runs": [
0.6667,
0.5,
0.5
],
"harbor_runs": [
0.6667,
0.5,
0.5
]
},
{
"benchmark_name": "MiMo-V2.6-RL Cyber",
"metric": "mean reward",
"original": "0.822 ± 0.011",
"harbor": "0.833 ± 0.096",
"original_runs": [
0.8,
0.8333,
0.8333
],
"harbor_runs": [
1.0,
0.6667,
0.8333
]
},
{
"benchmark_name": "MiMo-V2.6-RL General",
"metric": "mean reward",
"original": "0.844 ± 0.008",
"harbor": "0.844 ± 0.024",
"original_runs": [
0.8423,
0.8315,
0.8591
],
"harbor_runs": [
0.8899,
0.8107,
0.8315
]
},
{
"benchmark_name": "MiMo-V2.6-RL Music",
"metric": "mean reward",
"original": "0.111 ± 0.063",
"harbor": "0.317 ± 0.093",
"original_runs": [
0.0,
0.1135,
0.2193
],
"harbor_runs": [
0.1382,
0.4493,
0.3633
]
},
{
"benchmark_name": "MiMo-V2.6-RL Terminal",
"metric": "mean reward",
"original": "0.278 ± 0.056",
"harbor": "0.111 ± 0.056",
"original_runs": [
0.3333,
0.3333,
0.1667
],
"harbor_runs": [
0.1667,
0.1667,
0.0
]
},
{
"benchmark_name": "MiMo-V2.6-RL Webdev",
"metric": "mean reward",
"original": "0.749 ± 0.049",
"harbor": "0.738 ± 0.054",
"original_runs": [
0.6505,
0.8033,
0.7933
],
"harbor_runs": [
0.7994,
0.6306,
0.7852
]
}
]
}
]
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