Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 2 is clearly ahead on the aggregate, 34 to 25. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Large 2's sharpest advantage is in reasoning, where it averages 64.9 against 24.9. The single biggest benchmark swing on the page is SimpleQA, 24.9% to 66%. DeepSeek V3 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
Pick Mistral Large 2 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if mathematics is the priority.
Benchmark data for this category is coming soon.
DeepSeek V3
42
Mistral Large 2
60
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
Mistral Large 2
64.9
DeepSeek V3
69.6
Mistral Large 2
67
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
Mistral Large 2
67
Mistral Large 2 is ahead overall, 34 to 25. The biggest single separator in this matchup is SimpleQA, where the scores are 24.9% and 66%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 67. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for coding in this comparison, averaging 60 versus 42. DeepSeek V3 stays close enough that the answer can still flip depending on your workload.
DeepSeek V3 has the edge for math in this comparison, averaging 90.2 versus 67. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for reasoning in this comparison, averaging 64.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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