Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Omni
~75
Winner · 0/8 categoriesQwen3.5-122B-A10B
71
2/8 categoriesMiMo-V2-Omni· Qwen3.5-122B-A10B
Pick MiMo-V2-Omni if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if coding is the priority.
MiMo-V2-Omni is clearly ahead on the aggregate, 75 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | MiMo-V2-Omni | Qwen3.5-122B-A10B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 49.4% |
| BrowseComp | — | 63.8% |
| OSWorld-Verified | — | 58% |
| tau2-bench | — | 79.5% |
| CodingQwen3.5-122B-A10B wins | ||
| SWE-bench Verified | 74.8% | 72% |
| LiveCodeBench | — | 78.9% |
| Multimodal & GroundedQwen3.5-122B-A10B wins | ||
| MMMU-Pro | 76.8% | 76.9% |
| Reasoning | ||
| LongBench v2 | — | 60.2% |
| Knowledge | ||
| MMLU-Pro | — | 86.7% |
| SuperGPQA | — | 67.1% |
| GPQA | — | 86.6% |
| Instruction Following | ||
| IFEval | — | 93.4% |
| Multilingual | ||
| MMLU-ProX | — | 82.2% |
| Mathematics | ||
| Coming soon | ||
MiMo-V2-Omni is ahead overall, 75 to 71. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 74.8% and 72%.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 76.3 versus 74.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 76.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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