Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro
78
Winner · 4/8 categoriesQwen3.5-122B-A10B
71
3/8 categoriesGemini 3 Pro· Qwen3.5-122B-A10B
Pick Gemini 3 Pro if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
Gemini 3 Pro is clearly ahead on the aggregate, 78 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in agentic, where it averages 71.1 against 56. The single biggest benchmark swing on the page is LiveCodeBench, 49% to 78.9%. Qwen3.5-122B-A10B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Qwen3.5-122B-A10B is the reasoning model in the pair, while Gemini 3 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Pro gives you the larger context window at 2M, 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 | Gemini 3 Pro | Qwen3.5-122B-A10B |
|---|---|---|
| AgenticGemini 3 Pro wins | ||
| Terminal-Bench 2.0 | 68% | 49.4% |
| BrowseComp | 83% | 63.8% |
| OSWorld-Verified | 66% | 58% |
| tau2-bench | — | 79.5% |
| CodingQwen3.5-122B-A10B wins | ||
| HumanEval | 91% | — |
| SWE-bench Verified | 59% | 72% |
| LiveCodeBench | 49% | 78.9% |
| SWE-bench Pro | 58% | — |
| Multimodal & GroundedGemini 3 Pro wins | ||
| MMMU-Pro | 81% | 76.9% |
| OfficeQA Pro | 92% | — |
| ReasoningGemini 3 Pro wins | ||
| MuSR | 93% | — |
| BBH | 90% | — |
| LongBench v2 | 90% | 60.2% |
| MRCRv2 | 87% | — |
| ARC-AGI-2 | 31.1% | — |
| KnowledgeQwen3.5-122B-A10B wins | ||
| MMLU | 99% | — |
| GPQA | 97% | 86.6% |
| SuperGPQA | 95% | 67.1% |
| MMLU-Pro | 83% | 86.7% |
| HLE | 20% | — |
| FrontierScience | 86% | — |
| SimpleQA | 95% | — |
| Instruction FollowingQwen3.5-122B-A10B wins | ||
| IFEval | 88% | 93.4% |
| MultilingualGemini 3 Pro wins | ||
| MGSM | 89% | — |
| MMLU-ProX | 85% | 82.2% |
| Mathematics | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| HMMT Feb 2023 | 95% | — |
| HMMT Feb 2024 | 97% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 91% | — |
Gemini 3 Pro is ahead overall, 78 to 71. The biggest single separator in this matchup is LiveCodeBench, where the scores are 49% and 78.9%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 73.7. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 76.3 versus 54.8. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for reasoning in this comparison, averaging 75.1 versus 60.2. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for agentic tasks in this comparison, averaging 71.1 versus 56. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 86 versus 76.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for instruction following in this comparison, averaging 93.4 versus 88. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multilingual tasks in this comparison, averaging 86.4 versus 82.2. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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