Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 31B
73
Winner · 3/8 categoriesQwen3.5-27B
70
1/8 categoriesGemma 4 31B· Qwen3.5-27B
Pick Gemma 4 31B if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if knowledge is the priority or you need the larger 262K context window.
Gemma 4 31B has the cleaner overall profile here, landing at 73 versus 70. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemma 4 31B's sharpest advantage is in reasoning, where it averages 66.4 against 60.6. The single biggest benchmark swing on the page is MMMU-Pro, 76.9% to 75%. Qwen3.5-27B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.5-27B gives you the larger context window at 262K, compared with 256K for Gemma 4 31B.
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 | Gemma 4 31B | Qwen3.5-27B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 41.6% |
| BrowseComp | — | 61% |
| OSWorld-Verified | — | 56.2% |
| Tau2-Telecom | — | 79% |
| Claw-Eval | — | 20.2% |
| CodingGemma 4 31B wins | ||
| LiveCodeBench | 80% | 80.7% |
| SWE-bench Verified | — | 72.4% |
| Multimodal & GroundedGemma 4 31B wins | ||
| MMMU-Pro | 76.9% | 75% |
| ReasoningGemma 4 31B wins | ||
| BBH | 74.4% | — |
| MRCRv2 | 66.4% | — |
| LongBench v2 | — | 60.6% |
| KnowledgeQwen3.5-27B wins | ||
| GPQA | 84.3% | 85.5% |
| MMLU-Pro | 85.2% | 86.1% |
| HLE | 26.5% | — |
| HLE w/o tools | 19.5% | — |
| SuperGPQA | — | 65.6% |
| Instruction Following | ||
| IFEval | — | 95% |
| Multilingual | ||
| MMLU-ProX | — | 82.2% |
| Mathematics | ||
| Coming soon | ||
Gemma 4 31B is ahead overall, 73 to 70. The biggest single separator in this matchup is MMMU-Pro, where the scores are 76.9% and 75%.
Qwen3.5-27B has the edge for knowledge tasks in this comparison, averaging 80.6 versus 61.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for coding in this comparison, averaging 80 versus 77.6. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for reasoning in this comparison, averaging 66.4 versus 60.6. Qwen3.5-27B stays close enough that the answer can still flip depending on your workload.
Gemma 4 31B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 75. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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