Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-pro
67
3/8 categoriesQwen3.5-35B-A3B
67
4/8 categorieso3-pro· Qwen3.5-35B-A3B
Treat this as a split decision. o3-pro makes more sense if reasoning is the priority; Qwen3.5-35B-A3B is the better fit if coding is the priority or you need the larger 262K context window.
o3-pro and Qwen3.5-35B-A3B finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
Qwen3.5-35B-A3B gives you the larger context window at 262K, 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 | Qwen3.5-35B-A3B |
|---|---|---|
| Agentico3-pro wins | ||
| Terminal-Bench 2.0 | 69% | 40.5% |
| BrowseComp | 76% | 61% |
| OSWorld-Verified | 68% | 54.5% |
| tau2-bench | — | 81.2% |
| CodingQwen3.5-35B-A3B wins | ||
| HumanEval | 80% | — |
| LiveCodeBench | 44% | 74.6% |
| SWE-bench Pro | 55% | — |
| SWE-bench Verified | — | 69.2% |
| Multimodal & GroundedQwen3.5-35B-A3B wins | ||
| MMMU-Pro | 70% | 75.1% |
| OfficeQA Pro | 79% | — |
| Reasoningo3-pro wins | ||
| MuSR | 84% | — |
| BBH | 89% | — |
| LongBench v2 | 81% | 59% |
| MRCRv2 | 81% | — |
| KnowledgeQwen3.5-35B-A3B wins | ||
| MMLU | 88% | — |
| GPQA | 89% | 84.2% |
| SuperGPQA | 87% | 63.4% |
| HLE | 26% | — |
| FrontierScience | 77% | — |
| SimpleQA | 86% | — |
| MMLU-Pro | — | 85.3% |
| Instruction FollowingQwen3.5-35B-A3B wins | ||
| IFEval | 82% | 91.9% |
| Multilingualo3-pro wins | ||
| MGSM | 83% | — |
| MMLU-ProX | 80% | 81% |
| 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% | — |
o3-pro and Qwen3.5-35B-A3B are tied on overall score, so the right pick depends on which category matters most for your use case.
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 79.3 versus 66.8. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for coding in this comparison, averaging 72.6 versus 49.5. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
o3-pro has the edge for reasoning in this comparison, averaging 81.8 versus 59. 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 50.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for multimodal and grounded tasks in this comparison, averaging 75.1 versus 74.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for instruction following in this comparison, averaging 91.9 versus 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o3-pro has the edge for multilingual tasks in this comparison, averaging 81.1 versus 81. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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