Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Sonnet 4.6
76
Winner · 0/8 categoriesPharia-1-LLM-7B-control-aligned
Coming soon
0/8 categoriesClaude Sonnet 4.6· Pharia-1-LLM-7B-control-aligned
Benchmark data for Claude Sonnet 4.6 and Pharia-1-LLM-7B-control-aligned is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for Pharia-1-LLM-7B-control-aligned yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Claude Sonnet 4.6 has the larger context window at 200K, compared with 8K for Pharia-1-LLM-7B-control-aligned.
| Benchmark | Claude Sonnet 4.6 | Pharia-1-LLM-7B-control-aligned |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 59.1% | — |
| BrowseComp | 77% | — |
| OSWorld-Verified | 72.5% | — |
| Coding | ||
| HumanEval | 93% | — |
| SWE-bench Verified | 79.6% | — |
| LiveCodeBench | 54% | — |
| SWE-bench Pro | 64% | — |
| FLTEval | 23.7% | — |
| SWE-Rebench | 60.7% | — |
| React Native Evals | 77.9% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 95% | — |
| OfficeQA Pro | 88% | — |
| Reasoning | ||
| MuSR | 93% | — |
| BBH | 88% | — |
| LongBench v2 | 83% | — |
| MRCRv2 | 79% | — |
| ARC-AGI-2 | 59% | — |
| Knowledge | ||
| MMLU | 99% | — |
| GPQA | 89.9% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 79.2% | — |
| HLE | 49% | — |
| FrontierScience | 85% | — |
| SimpleQA | 48.5% | — |
| Instruction Following | ||
| IFEval | 89.5% | — |
| Multilingual | ||
| MGSM | 91% | — |
| MMLU-ProX | 89% | — |
| Mathematics | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| HMMT Feb 2023 | 95% | — |
| HMMT Feb 2024 | 97% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 97.8% | — |
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
Claude Sonnet 4.6: $3.00 input / $15.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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