Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2
63
2/8 categoriesGemma 4 31B
73
Winner · 2/8 categoriesDeepSeekMath V2· Gemma 4 31B
Pick Gemma 4 31B if you want the stronger benchmark profile. DeepSeekMath V2 only becomes the better choice if knowledge is the priority.
Gemma 4 31B is clearly ahead on the aggregate, 73 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 31B's sharpest advantage is in coding, where it averages 80 against 46.9. The single biggest benchmark swing on the page is LiveCodeBench, 44% to 80%. DeepSeekMath V2 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemma 4 31B gives you the larger context window at 256K, compared with 128K for DeepSeekMath V2.
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 | DeepSeekMath V2 | Gemma 4 31B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 65% | — |
| BrowseComp | 66% | — |
| OSWorld-Verified | 61% | — |
| CodingGemma 4 31B wins | ||
| HumanEval | 72% | — |
| SWE-bench Verified | 45% | — |
| LiveCodeBench | 44% | 80% |
| SWE-bench Pro | 51% | — |
| Multimodal & GroundedGemma 4 31B wins | ||
| MMMU-Pro | 64% | 76.9% |
| OfficeQA Pro | 73% | — |
| ReasoningDeepSeekMath V2 wins | ||
| MuSR | 75% | — |
| BBH | 86% | 74.4% |
| LongBench v2 | 75% | — |
| MRCRv2 | 72% | 66.4% |
| KnowledgeDeepSeekMath V2 wins | ||
| GPQA | 79% | 84.3% |
| SuperGPQA | 77% | — |
| FrontierScience | 73% | — |
| SimpleQA | 77% | — |
| MMLU-Pro | — | 85.2% |
| HLE | — | 26.5% |
| HLE w/o tools | — | 19.5% |
| Instruction Following | ||
| IFEval | 83% | — |
| Multilingual | ||
| MGSM | 87% | — |
| MMLU-ProX | 80% | — |
| Mathematics | ||
| AIME 2024 | 82% | — |
| AIME 2025 | 81% | — |
| HMMT Feb 2023 | 76% | — |
| HMMT Feb 2024 | 78% | — |
| HMMT Feb 2025 | 77% | — |
| BRUMO 2025 | 79% | — |
| MATH-500 | 90% | — |
Gemma 4 31B is ahead overall, 73 to 63. The biggest single separator in this matchup is LiveCodeBench, where the scores are 44% and 80%.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 76.1 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 46.9. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for reasoning in this comparison, averaging 74 versus 66.4. Inside this category, BBH is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 68.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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