Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3
49
0/8 categoriesGemma 4 31B
73
Winner · 3/8 categoriesDeepSeek V3· Gemma 4 31B
Pick Gemma 4 31B if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemma 4 31B is clearly ahead on the aggregate, 73 to 49. 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 39.2. The single biggest benchmark swing on the page is LiveCodeBench, 37.6% to 80%.
DeepSeek V3 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 31B. That is roughly Infinityx on output cost alone. Gemma 4 31B is the reasoning model in the pair, while DeepSeek V3 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. Gemma 4 31B gives you the larger context window at 256K, compared with 128K for DeepSeek V3.
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 | DeepSeek V3 | Gemma 4 31B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingGemma 4 31B wins | ||
| LiveCodeBench | 37.6% | 80% |
| SWE-bench Verified | 42% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 76.9% |
| ReasoningGemma 4 31B wins | ||
| LongBench v2 | 48.7% | — |
| BBH | — | 74.4% |
| MRCRv2 | — | 66.4% |
| KnowledgeGemma 4 31B wins | ||
| GPQA | 59.1% | 84.3% |
| MMLU-Pro | 75.9% | 85.2% |
| SimpleQA | 24.9% | — |
| HLE | — | 26.5% |
| HLE w/o tools | — | 19.5% |
| Instruction Following | ||
| IFEval | 86.1% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| AIME 2024 | 39.2% | — |
| MATH-500 | 90.2% | — |
Gemma 4 31B is ahead overall, 73 to 49. The biggest single separator in this matchup is LiveCodeBench, where the scores are 37.6% and 80%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 57.5. 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 39.2. 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 48.7. DeepSeek V3 stays close enough that the answer can still flip depending on your workload.
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