Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Opus 4.5
76
Winner · 4/8 categoriesGemma 4 E2B
~39
0/8 categoriesClaude Opus 4.5· Gemma 4 E2B
Pick Claude Opus 4.5 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the stronger reasoning-first profile.
Claude Opus 4.5 is clearly ahead on the aggregate, 76 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.5's sharpest advantage is in reasoning, where it averages 67.6 against 19.1. The single biggest benchmark swing on the page is BBH, 87% to 21.9%.
Gemma 4 E2B is the reasoning model in the pair, while Claude Opus 4.5 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 4.5 gives you the larger context window at 200K, compared with 128K for Gemma 4 E2B.
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 4.5 | Gemma 4 E2B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 59.3% | — |
| BrowseComp | 73% | — |
| OSWorld-Verified | 66.3% | — |
| OSWorld | 66.3% | — |
| Claw-Eval | 59.6% | — |
| QwenClawBench | 52.3% | — |
| QwenWebBench | 1518 | — |
| TAU3-Bench | 70.2% | — |
| VITA-Bench | 23.3% | — |
| DeepPlanning | 26.4% | — |
| Toolathlon | 43.5% | — |
| MCP Atlas | 42.3% | — |
| MCP-Tasks | 71.8% | — |
| WideResearch | 76.4% | — |
| CodingClaude Opus 4.5 wins | ||
| HumanEval | 91% | — |
| SWE-bench Verified | 80.9% | — |
| LiveCodeBench | 57% | 44% |
| LiveCodeBench v6 | 84.8% | — |
| SWE-bench Pro | 57.1% | — |
| SWE Multilingual | 77.5% | — |
| NL2Repo | 43.2% | — |
| Multimodal & GroundedClaude Opus 4.5 wins | ||
| MMMU | 80.7% | — |
| MMMU-Pro | 70.6% | 44.2% |
| OfficeQA Pro | 87% | — |
| RealWorldQA | 77.0% | — |
| OmniDocBench 1.5 | 87.7% | — |
| Video-MME (with subtitle) | 77.6% | — |
| Video-MME (w/o subtitle) | 81.4% | — |
| MathVision | 74.3% | — |
| We-Math | 70.0% | — |
| DynaMath | 79.7% | — |
| MStar | 73.2% | — |
| SimpleVQA | 65.7% | — |
| ChatCVQA | 68.5% | — |
| CountBench | 90.6% | — |
| AI2D_TEST | 87.7% | — |
| ERQA | 46.8% | — |
| VideoMMMU | 84.4% | — |
| MLVU (M-Avg) | 81.7% | — |
| ScreenSpot Pro | 45.7% | — |
| ReasoningClaude Opus 4.5 wins | ||
| MuSR | 93% | — |
| BBH | 87% | 21.9% |
| LongBench v2 | 64.4% | — |
| MRCRv2 | 81% | 19.1% |
| AI-Needle | 74% | — |
| ARC-AGI-2 | 37.6% | — |
| KnowledgeClaude Opus 4.5 wins | ||
| MMLU | 90.8% | — |
| GPQA | 87% | 43.4% |
| SuperGPQA | 70.6% | — |
| MMLU-Pro | 89.5% | 60% |
| MMLU-Redux | 96.6% | — |
| C-Eval | 92.2% | — |
| HLE | 30.8% | — |
| FrontierScience | 84% | — |
| SimpleQA | 95% | — |
| Instruction Following | ||
| IFEval | 90.9% | — |
| IFBench | 58.0% | — |
| Multilingual | ||
| MGSM | 90% | — |
| MMLU-ProX | 85.7% | — |
| NOVA-63 | 56.7% | — |
| INCLUDE | 86.2% | — |
| PolyMath | 79.0% | — |
| VWT2k-lite | 79.7% | — |
| MAXIFE | 79.2% | — |
| Mathematics | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| AIME26 | 95.1% | — |
| HMMT Feb 2023 | 95% | — |
| HMMT Feb 2024 | 97% | — |
| HMMT Feb 2025 | 96% | — |
| HMMT Feb 2025 | 92.9% | — |
| HMMT Nov 2025 | 93.3% | — |
| HMMT Feb 2026 | 85.3% | — |
| MMAnswerBench | 84.0% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 89% | — |
Claude Opus 4.5 is ahead overall, 76 to 39. The biggest single separator in this matchup is BBH, where the scores are 87% and 21.9%.
Claude Opus 4.5 has the edge for knowledge tasks in this comparison, averaging 73.2 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for coding in this comparison, averaging 62.6 versus 44. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for reasoning in this comparison, averaging 67.6 versus 19.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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