Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3
49
Winner · 1/8 categoriesGemma 4 E4B
~47
2/8 categoriesDeepSeek V3· Gemma 4 E4B
Pick DeepSeek V3 if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if coding is the priority or you want the cheaper token bill.
DeepSeek V3 has the cleaner overall profile here, landing at 49 versus 47. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V3's sharpest advantage is in reasoning, where it averages 48.7 against 25.4. The single biggest benchmark swing on the page is LiveCodeBench, 37.6% to 52%. Gemma 4 E4B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
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 E4B. That is roughly Infinityx on output cost alone. Gemma 4 E4B 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.
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 E4B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingGemma 4 E4B wins | ||
| LiveCodeBench | 37.6% | 52% |
| SWE-bench Verified | 42% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 52.6% |
| ReasoningDeepSeek V3 wins | ||
| LongBench v2 | 48.7% | — |
| BBH | — | 33.1% |
| MRCRv2 | — | 25.4% |
| KnowledgeGemma 4 E4B wins | ||
| GPQA | 59.1% | 58.6% |
| MMLU-Pro | 75.9% | 69.4% |
| SimpleQA | 24.9% | — |
| Instruction Following | ||
| IFEval | 86.1% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| AIME 2024 | 39.2% | — |
| MATH-500 | 90.2% | — |
DeepSeek V3 is ahead overall, 49 to 47. The biggest single separator in this matchup is LiveCodeBench, where the scores are 37.6% and 52%.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 57.5. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Gemma 4 E4B has the edge for coding in this comparison, averaging 52 versus 39.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for reasoning in this comparison, averaging 48.7 versus 25.4. Gemma 4 E4B stays close enough that the answer can still flip depending on your workload.
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