Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Pro
~85
Winner · 3/8 categoriesQwen3.5-122B-A10B
71
0/8 categoriesMiMo-V2-Pro· Qwen3.5-122B-A10B
Pick MiMo-V2-Pro if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MiMo-V2-Pro is clearly ahead on the aggregate, 85 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Pro's sharpest advantage is in agentic, where it averages 86.7 against 56. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 86.7% to 49.4%.
MiMo-V2-Pro gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-A10B.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
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-Pro | Qwen3.5-122B-A10B |
|---|---|---|
| AgenticMiMo-V2-Pro wins | ||
| Terminal-Bench 2.0 | 86.7% | 49.4% |
| BrowseComp | — | 63.8% |
| OSWorld-Verified | — | 58% |
| tau2-bench | — | 79.5% |
| CodingMiMo-V2-Pro wins | ||
| SWE-bench Verified | 78% | 72% |
| LiveCodeBench | — | 78.9% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 76.9% |
| Reasoning | ||
| LongBench v2 | — | 60.2% |
| KnowledgeMiMo-V2-Pro wins | ||
| GPQA | 87% | 86.6% |
| MMLU-Pro | — | 86.7% |
| SuperGPQA | — | 67.1% |
| Instruction Following | ||
| IFEval | — | 93.4% |
| Multilingual | ||
| MMLU-ProX | — | 82.2% |
| Mathematics | ||
| Coming soon | ||
MiMo-V2-Pro is ahead overall, 85 to 71. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 86.7% and 49.4%.
MiMo-V2-Pro has the edge for knowledge tasks in this comparison, averaging 87 versus 81.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 76.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
MiMo-V2-Pro has the edge for agentic tasks in this comparison, averaging 86.7 versus 56. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.