Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Pro
~85
Winner · 3/8 categoriesQwen3.5-27B
71
0/8 categoriesMiMo-V2-Pro· Qwen3.5-27B
Pick MiMo-V2-Pro if you want the stronger benchmark profile. Qwen3.5-27B 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 51.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 86.7% to 41.6%.
MiMo-V2-Pro gives you the larger context window at 1M, compared with 262K for Qwen3.5-27B.
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 | Qwen3.5-27B |
|---|---|---|
| AgenticMiMo-V2-Pro wins | ||
| Terminal-Bench 2.0 | 86.7% | 41.6% |
| BrowseComp | — | 61% |
| OSWorld-Verified | — | 56.2% |
| tau2-bench | — | 79% |
| CodingMiMo-V2-Pro wins | ||
| SWE-bench Verified | 78% | 72.4% |
| LiveCodeBench | — | 80.7% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 75% |
| Reasoning | ||
| LongBench v2 | — | 60.6% |
| KnowledgeMiMo-V2-Pro wins | ||
| GPQA | 87% | 85.5% |
| MMLU-Pro | — | 86.1% |
| SuperGPQA | — | 65.6% |
| Instruction Following | ||
| IFEval | — | 95% |
| 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 41.6%.
MiMo-V2-Pro has the edge for knowledge tasks in this comparison, averaging 87 versus 80.6. 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 77.6. 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 51.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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