Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 3 Opus
49
Winner · 2/8 categoriesGranite-4.0-1B
~40
1/8 categoriesClaude 3 Opus· Granite-4.0-1B
Pick Claude 3 Opus if you want the stronger benchmark profile. Granite-4.0-1B only becomes the better choice if instruction following is the priority.
Claude 3 Opus is clearly ahead on the aggregate, 49 to 40. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 3 Opus's sharpest advantage is in multilingual, where it averages 69.8 against 27.5. The single biggest benchmark swing on the page is MGSM, 73% to 27.5%. Granite-4.0-1B does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Claude 3 Opus 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 3 Opus | Granite-4.0-1B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 44% | — |
| BrowseComp | 56% | — |
| OSWorld-Verified | 47% | — |
| Coding | ||
| HumanEval | 84.9% | 73% |
| SWE-bench Verified | 10% | — |
| LiveCodeBench | 20% | — |
| SWE-bench Pro | 20% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 73% | — |
| OfficeQA Pro | 67% | — |
| Reasoning | ||
| MuSR | 57% | — |
| BBH | 74% | 59.7% |
| LongBench v2 | 62% | — |
| MRCRv2 | 63% | — |
| KnowledgeClaude 3 Opus wins | ||
| MMLU | 86.8% | 59.7% |
| GPQA | 61% | 29.7% |
| SuperGPQA | 59% | — |
| MMLU-Pro | 62% | 32.9% |
| HLE | 1% | — |
| FrontierScience | 56% | — |
| SimpleQA | 59% | — |
| Instruction FollowingGranite-4.0-1B wins | ||
| IFEval | 77% | 78.5% |
| MultilingualClaude 3 Opus wins | ||
| MGSM | 73% | 27.5% |
| MMLU-ProX | 68% | — |
| Mathematics | ||
| AIME 2023 | 61% | — |
| AIME 2024 | 63% | — |
| AIME 2025 | 62% | — |
| HMMT Feb 2023 | 57% | — |
| HMMT Feb 2024 | 59% | — |
| HMMT Feb 2025 | 58% | — |
| BRUMO 2025 | 60% | — |
| MATH-500 | 73% | — |
Claude 3 Opus is ahead overall, 49 to 40. The biggest single separator in this matchup is MGSM, where the scores are 73% and 27.5%.
Claude 3 Opus has the edge for knowledge tasks in this comparison, averaging 46 versus 31.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Granite-4.0-1B has the edge for instruction following in this comparison, averaging 78.5 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude 3 Opus has the edge for multilingual tasks in this comparison, averaging 69.8 versus 27.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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