Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-pro
67
3/8 categoriesQwen3.6 Plus
69
Winner · 4/8 categorieso3-pro· Qwen3.6 Plus
Pick Qwen3.6 Plus if you want the stronger benchmark profile. o3-pro 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 coding, where it averages 64.9 against 49.5. The single biggest benchmark swing on the page is LongBench v2, 81% to 62%. o3-pro 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 200K for o3-pro.
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 | o3-pro | Qwen3.6 Plus |
|---|---|---|
| Agentico3-pro wins | ||
| Terminal-Bench 2.0 | 69% | 61.6% |
| BrowseComp | 76% | — |
| OSWorld-Verified | 68% | 62.5% |
| Claw-Eval | — | 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% |
| CodingQwen3.6 Plus wins | ||
| HumanEval | 80% | — |
| LiveCodeBench | 44% | — |
| SWE-bench Pro | 55% | 56.6% |
| SWE-bench Verified | — | 78.8% |
| SWE Multilingual | — | 73.8% |
| LiveCodeBench v6 | — | 87.1% |
| NL2Repo | — | 37.9% |
| Multimodal & GroundedQwen3.6 Plus wins | ||
| MMMU-Pro | 70% | 78.8% |
| OfficeQA Pro | 79% | — |
| 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% |
| Reasoningo3-pro wins | ||
| MuSR | 84% | — |
| BBH | 89% | — |
| LongBench v2 | 81% | 62% |
| MRCRv2 | 81% | — |
| AI-Needle | — | 68.3% |
| Knowledgeo3-pro wins | ||
| MMLU | 88% | — |
| GPQA | 89% | 90.4% |
| SuperGPQA | 87% | 71.6% |
| HLE | 26% | 28.8% |
| FrontierScience | 77% | — |
| SimpleQA | 86% | — |
| MMLU-Pro | — | 88.5% |
| MMLU-Redux | — | 94.5% |
| C-Eval | — | 93.3% |
| Instruction FollowingQwen3.6 Plus wins | ||
| IFEval | 82% | 94.3% |
| IFBench | — | 74.2% |
| MultilingualQwen3.6 Plus wins | ||
| MGSM | 83% | — |
| MMLU-ProX | 80% | 84.7% |
| NOVA-63 | — | 57.9% |
| INCLUDE | — | 85.1% |
| PolyMath | — | 77.4% |
| VWT2k-lite | — | 84.3% |
| MAXIFE | — | 88.2% |
| Mathematics | ||
| AIME 2023 | 90% | — |
| AIME 2024 | 92% | — |
| AIME 2025 | 91% | — |
| HMMT Feb 2023 | 86% | — |
| HMMT Feb 2024 | 88% | — |
| HMMT Feb 2025 | 87% | — |
| BRUMO 2025 | 89% | — |
| MATH-500 | 89% | — |
| 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 LongBench v2, where the scores are 81% and 62%.
o3-pro has the edge for knowledge tasks in this comparison, averaging 66.8 versus 66. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for coding in this comparison, averaging 64.9 versus 49.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-pro has the edge for reasoning in this comparison, averaging 81.8 versus 62. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-pro has the edge for agentic tasks in this comparison, averaging 70.4 versus 62. Inside this category, Terminal-Bench 2.0 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 74.1. 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 82. 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 81.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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