Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Flash
67
2/8 categoriesQwen3.6 Plus
69
Winner · 5/8 categoriesMiMo-V2-Flash· Qwen3.6 Plus
Pick Qwen3.6 Plus if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if reasoning is the priority.
Qwen3.6 Plus has the cleaner overall profile here, landing at 69 versus 67. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.6 Plus's sharpest advantage is in instruction following, where it averages 94.3 against 84. The single biggest benchmark swing on the page is HLE, 14% to 28.8%. MiMo-V2-Flash does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 256K for MiMo-V2-Flash.
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-Flash | Qwen3.6 Plus |
|---|---|---|
| AgenticQwen3.6 Plus wins | ||
| Terminal-Bench 2.0 | 63% | 61.6% |
| BrowseComp | 65% | — |
| OSWorld-Verified | 58% | 62.5% |
| Claw-Eval | 48.1% | 58.7% |
| QwenClawBench | — | 57.2% |
| QwenWebBench | — | 1502 |
| TAU3-Bench | — | 70.7% |
| VITA-Bench | — | 44.3% |
| DeepPlanning | — | 41.5% |
| Toolathlon | — | 39.8% |
| MCP Atlas | — | 48.2% |
| MCP-Tasks | — | 74.1% |
| WideResearch | — | 74.3% |
| CodingMiMo-V2-Flash wins | ||
| HumanEval | 84.8% | — |
| SWE-bench Verified | 73.4% | 78.8% |
| LiveCodeBench | 80.6% | — |
| SWE-bench Pro | 52% | 56.6% |
| SWE Multilingual | 71.7% | 73.8% |
| LiveCodeBench v6 | — | 87.1% |
| NL2Repo | — | 37.9% |
| Multimodal & GroundedQwen3.6 Plus wins | ||
| MMMU-Pro | 78% | 78.8% |
| OfficeQA Pro | 73% | — |
| MMMU | — | 86.0% |
| RealWorldQA | — | 85.4% |
| OmniDocBench 1.5 | — | 91.2% |
| Video-MME (with subtitle) | — | 87.8% |
| Video-MME (w/o subtitle) | — | 84.2% |
| MathVision | — | 88.0% |
| We-Math | — | 89.0% |
| DynaMath | — | 88.0% |
| MStar | — | 83.3% |
| SimpleVQA | — | 67.3% |
| ChatCVQA | — | 81.5% |
| MMLongBench-Doc | — | 62.0% |
| CC-OCR | — | 83.4% |
| AI2D_TEST | — | 94.4% |
| CountBench | — | 97.6% |
| RefCOCO (avg) | — | 93.5% |
| ODINW13 | — | 51.8% |
| ERQA | — | 65.7% |
| VideoMMMU | — | 84.0% |
| MLVU (M-Avg) | — | 86.7% |
| ScreenSpot Pro | — | 68.2% |
| ReasoningMiMo-V2-Flash wins | ||
| MuSR | 74% | — |
| BBH | 85% | — |
| LongBench v2 | 60.6% | 62% |
| MRCRv2 | 73% | — |
| AI-Needle | — | 68.3% |
| KnowledgeQwen3.6 Plus wins | ||
| MMLU | 86.7% | — |
| GPQA | 83.7% | 90.4% |
| SuperGPQA | 76% | 71.6% |
| MMLU-Pro | 84.9% | 88.5% |
| HLE | 14% | 28.8% |
| FrontierScience | 71% | — |
| SimpleQA | 76% | — |
| MMLU-Redux | — | 94.5% |
| C-Eval | — | 93.3% |
| Instruction FollowingQwen3.6 Plus wins | ||
| IFEval | 84% | 94.3% |
| IFBench | — | 74.2% |
| MultilingualQwen3.6 Plus wins | ||
| MGSM | 83% | — |
| MMLU-ProX | 77% | 84.7% |
| NOVA-63 | — | 57.9% |
| INCLUDE | — | 85.1% |
| PolyMath | — | 77.4% |
| VWT2k-lite | — | 84.3% |
| MAXIFE | — | 88.2% |
| Mathematics | ||
| AIME 2023 | 79% | — |
| AIME 2024 | 81% | — |
| AIME 2025 | 94.1% | — |
| HMMT Feb 2023 | 75% | — |
| HMMT Feb 2024 | 77% | — |
| HMMT Feb 2025 | 76% | — |
| BRUMO 2025 | 78% | — |
| MATH-500 | 90% | — |
| AIME26 | — | 95.3% |
| HMMT Feb 2025 | — | 96.7% |
| HMMT Nov 2025 | — | 94.6% |
| HMMT Feb 2026 | — | 87.8% |
| MMAnswerBench | — | 83.8% |
Qwen3.6 Plus is ahead overall, 69 to 67. The biggest single separator in this matchup is HLE, where the scores are 14% and 28.8%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 versus 63.7. Inside this category, HLE is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 67.9 versus 64.9. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for reasoning in this comparison, averaging 68.3 versus 62. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for agentic tasks in this comparison, averaging 62 versus 61.8. Inside this category, Claw-Eval is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 78.8 versus 75.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for instruction following in this comparison, averaging 94.3 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for multilingual tasks in this comparison, averaging 84.7 versus 79.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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