Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4.1 Opus Thinking
58
Winner · 3/8 categoriesGranite-4.0-1B
~40
0/8 categoriesClaude 4.1 Opus Thinking· Granite-4.0-1B
Pick Claude 4.1 Opus Thinking if you want the stronger benchmark profile. Granite-4.0-1B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Claude 4.1 Opus Thinking is clearly ahead on the aggregate, 58 to 40. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4.1 Opus Thinking's sharpest advantage is in multilingual, where it averages 76.2 against 27.5. The single biggest benchmark swing on the page is MGSM, 82% to 27.5%.
Claude 4.1 Opus Thinking is the reasoning model in the pair, while Granite-4.0-1B 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 4.1 Opus Thinking gives you the larger context window at 200K, compared with 128K for Granite-4.0-1B.
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 4.1 Opus Thinking | Granite-4.0-1B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 43.3% | — |
| BrowseComp | 54% | — |
| OSWorld-Verified | 47% | — |
| Coding | ||
| HumanEval | 68% | 73% |
| SWE-bench Verified | 74.5% | — |
| LiveCodeBench | 45% | — |
| SWE-bench Pro | 29% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 78% | — |
| OfficeQA Pro | 69% | — |
| Reasoning | ||
| MuSR | 72% | — |
| BBH | 86% | 59.7% |
| LongBench v2 | 62% | — |
| MRCRv2 | 74% | — |
| KnowledgeClaude 4.1 Opus Thinking wins | ||
| MMLU | 76% | 59.7% |
| GPQA | 80.9% | 29.7% |
| SuperGPQA | 72% | — |
| MMLU-Pro | 76% | 32.9% |
| HLE | 8% | — |
| FrontierScience | 41% | — |
| SimpleQA | 36% | — |
| Instruction FollowingClaude 4.1 Opus Thinking wins | ||
| IFEval | 88% | 78.5% |
| MultilingualClaude 4.1 Opus Thinking wins | ||
| MGSM | 82% | 27.5% |
| MMLU-ProX | 73% | — |
| Mathematics | ||
| AIME 2023 | 38% | — |
| AIME 2024 | 40% | — |
| AIME 2025 | 90% | — |
| HMMT Feb 2023 | 34% | — |
| HMMT Feb 2024 | 36% | — |
| HMMT Feb 2025 | 35% | — |
| BRUMO 2025 | 37% | — |
| MATH-500 | 87% | — |
Claude 4.1 Opus Thinking is ahead overall, 58 to 40. The biggest single separator in this matchup is MGSM, where the scores are 82% and 27.5%.
Claude 4.1 Opus Thinking has the edge for knowledge tasks in this comparison, averaging 49 versus 31.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for instruction following in this comparison, averaging 88 versus 78.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for multilingual tasks in this comparison, averaging 76.2 versus 27.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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