Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Sonnet 4.6
84
Winner · 3/8 categoriesGemma 4 E4B
~47
0/8 categoriesClaude Sonnet 4.6· Gemma 4 E4B
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude Sonnet 4.6 is clearly ahead on the aggregate, 84 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in reasoning, where it averages 87 against 25.4. The single biggest benchmark swing on the page is BBH, 88% to 33.1%.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 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 Claude Sonnet 4.6 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. Claude Sonnet 4.6 gives you the larger context window at 200K, compared with 128K for Gemma 4 E4B.
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 | Claude Sonnet 4.6 | Gemma 4 E4B |
|---|---|---|
| Agentic | ||
| OSWorld-Verified | 72.5% | — |
| Claw-Eval | 66.3% | — |
| CodingClaude Sonnet 4.6 wins | ||
| SWE-bench Verified | 79.6% | — |
| FLTEval | 23.7% | — |
| SWE-Rebench | 60.7% | — |
| React Native Evals | 77.9% | — |
| LiveCodeBench | — | 52% |
| Multimodal & GroundedClaude Sonnet 4.6 wins | ||
| MMMU-Pro | 95% | 52.6% |
| OfficeQA Pro | 88% | — |
| ReasoningClaude Sonnet 4.6 wins | ||
| MuSR | 93% | — |
| BBH | 88% | 33.1% |
| LongBench v2 | 83% | — |
| MRCRv2 | — | 25.4% |
| Knowledge | ||
| MMLU | 99% | — |
| GPQA | — | 58.6% |
| MMLU-Pro | — | 69.4% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MGSM | 91% | — |
| MMLU-ProX | 89% | — |
| Mathematics | ||
| AIME 2025 | 98% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
Claude Sonnet 4.6 is ahead overall, 84 to 47. The biggest single separator in this matchup is BBH, where the scores are 88% and 33.1%.
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 66.4 versus 52. Gemma 4 E4B stays close enough that the answer can still flip depending on your workload.
Claude Sonnet 4.6 has the edge for reasoning in this comparison, averaging 87 versus 25.4. Inside this category, BBH is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 91.9 versus 52.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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