Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Opus 4.6
85
Winner · 4/8 categoriesGemma 4 E4B
~47
0/8 categoriesClaude Opus 4.6· Gemma 4 E4B
Pick Claude Opus 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 Opus 4.6 is clearly ahead on the aggregate, 85 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in reasoning, where it averages 82.4 against 25.4. The single biggest benchmark swing on the page is BBH, 94% to 33.1%.
Claude Opus 4.6 is also the more expensive model on tokens at $15.00 input / $75.00 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 Opus 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 Opus 4.6 gives you the larger context window at 1M, 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 Opus 4.6 | Gemma 4 E4B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 65.4% | — |
| BrowseComp | 84% | — |
| OSWorld-Verified | 72.7% | — |
| BrowseComp-VL | 35.9% | — |
| OSWorld | 72.2% | — |
| Tau2-Airline | 82.0% | — |
| Tau2-Telecom | 92.1% | — |
| PinchBench | 93.3% | — |
| BFCL v4 | 77.0% | — |
| AndroidWorld | 62.0% | — |
| WebVoyager | 88.0% | — |
| Claw-Eval | 66.3% | — |
| CodingClaude Opus 4.6 wins | ||
| HumanEval | 91% | — |
| SWE-bench Verified | 80.8% | — |
| SWE-bench Verified* | 75.6% | — |
| LiveCodeBench | 76% | 52% |
| FLTEval | 39.6% | — |
| SWE-Rebench | 65.3% | — |
| React Native Evals | 84.4% | — |
| Multimodal & GroundedClaude Opus 4.6 wins | ||
| MMMU-Pro | 77.3% | 52.6% |
| OfficeQA Pro | 94% | — |
| Design2Code | 77.3% | — |
| Flame-VLM-Code | 98.8% | — |
| Vision2Web | 43.5% | — |
| MMSearch | 63.8% | — |
| MMSearch-Plus | 25.6% | — |
| SimpleVQA | 63.2% | — |
| V* | 66.5% | — |
| ReasoningClaude Opus 4.6 wins | ||
| MuSR | 93% | — |
| BBH | 94% | 33.1% |
| LongBench v2 | 92% | — |
| MRCRv2 | 76% | 25.4% |
| ARC-AGI-2 | 68.8% | — |
| KnowledgeClaude Opus 4.6 wins | ||
| MMLU | 99% | — |
| GPQA | 91.3% | 58.6% |
| GPQA-D | 89.2% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 82% | 69.4% |
| MMLU-Pro (Arcee) | 89.1% | — |
| HLE | 53% | — |
| FrontierScience | 88% | — |
| SimpleQA | 72% | — |
| Instruction Following | ||
| IFEval | 95% | — |
| IFBench | 53.1% | — |
| Multilingual | ||
| MGSM | 96% | — |
| MMLU-ProX | 94% | — |
| Mathematics | ||
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| AIME25 (Arcee) | 99.8% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 98% | — |
Claude Opus 4.6 is ahead overall, 85 to 47. The biggest single separator in this matchup is BBH, where the scores are 94% and 33.1%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 77.8 versus 65.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 72 versus 52. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for reasoning in this comparison, averaging 82.4 versus 25.4. Inside this category, BBH is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 84.8 versus 52.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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