Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 3
~52
Winner · 0/8 categoriesPharia-1-LLM-7B-control
Coming soon
0/8 categoriesMistral Large 3· Pharia-1-LLM-7B-control
Benchmark data for Mistral Large 3 and Pharia-1-LLM-7B-control is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for Pharia-1-LLM-7B-control yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Mistral Large 3 has the larger context window at 128K, compared with 8K for Pharia-1-LLM-7B-control.
| Benchmark | Mistral Large 3 | Pharia-1-LLM-7B-control |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| HumanEval | 92.3% | — |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| Coming soon | ||
| Knowledge | ||
| MMLU | 85.5% | — |
| GPQA | 43.9% | — |
| MMLU-Pro | 73.1% | — |
| SimpleQA | 24% | — |
| Instruction Following | ||
| IFEval | 89.4% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | 93.6% | — |
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.
Mistral Large 3: $2.00 input / $6.00 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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