Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4 Sonnet
62
Winner · 3/8 categoriesGranite-4.0-350M
~27
0/8 categoriesClaude 4 Sonnet· Granite-4.0-350M
Pick Claude 4 Sonnet if you want the stronger benchmark profile. Granite-4.0-350M only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Claude 4 Sonnet is clearly ahead on the aggregate, 62 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4 Sonnet's sharpest advantage is in multilingual, where it averages 82.1 against 16.2. The single biggest benchmark swing on the page is MGSM, 84% to 16.2%.
Claude 4 Sonnet gives you the larger context window at 200K, compared with 32K for Granite-4.0-350M.
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 Sonnet | Granite-4.0-350M |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 56% | — |
| BrowseComp | 62% | — |
| OSWorld-Verified | 57% | — |
| Coding | ||
| HumanEval | 65% | 38% |
| SWE-bench Verified | 72.7% | — |
| LiveCodeBench | 36% | — |
| SWE-bench Pro | 48% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 81% | — |
| OfficeQA Pro | 78% | — |
| Reasoning | ||
| MuSR | 69% | — |
| BBH | 82% | 33.3% |
| LongBench v2 | 71% | — |
| MRCRv2 | 72% | — |
| KnowledgeClaude 4 Sonnet wins | ||
| MMLU | 86.5% | 36.2% |
| GPQA | 73% | 26.1% |
| SuperGPQA | 71% | — |
| MMLU-Pro | 75% | 14.4% |
| HLE | 12% | — |
| FrontierScience | 67% | — |
| SimpleQA | 71% | — |
| Instruction FollowingClaude 4 Sonnet wins | ||
| IFEval | 83% | 61.6% |
| MultilingualClaude 4 Sonnet wins | ||
| MGSM | 84% | 16.2% |
| MMLU-ProX | 81% | — |
| Mathematics | ||
| AIME 2023 | 73% | — |
| AIME 2024 | 75% | — |
| AIME 2025 | 74% | — |
| HMMT Feb 2023 | 69% | — |
| HMMT Feb 2024 | 71% | — |
| HMMT Feb 2025 | 70% | — |
| BRUMO 2025 | 72% | — |
| MATH-500 | 81% | — |
Claude 4 Sonnet is ahead overall, 62 to 27. The biggest single separator in this matchup is MGSM, where the scores are 84% and 16.2%.
Claude 4 Sonnet has the edge for knowledge tasks in this comparison, averaging 57.8 versus 18.5. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for instruction following in this comparison, averaging 83 versus 61.6. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for multilingual tasks in this comparison, averaging 82.1 versus 16.2. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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