Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 3 is clearly ahead on the aggregate, 61 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Large 3's sharpest advantage is in coding, where it averages 41 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 22.
Mistral Large 3 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 15.0x on output cost alone. Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for Mistral Large 3.
Pick Mistral Large 3 if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Mistral Large 3
52.5
Seed-2.0-Mini
46.2
Mistral Large 3
41
Seed-2.0-Mini
24.7
Mistral Large 3
75.5
Seed-2.0-Mini
73.1
Mistral Large 3
70.6
Seed-2.0-Mini
64.8
Mistral Large 3
57.1
Seed-2.0-Mini
44.6
Mistral Large 3
83
Seed-2.0-Mini
80
Mistral Large 3
78.8
Seed-2.0-Mini
71.8
Mistral Large 3
77.3
Seed-2.0-Mini
65.1
Mistral Large 3 is ahead overall, 61 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 22.
Mistral Large 3 has the edge for knowledge tasks in this comparison, averaging 57.1 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for coding in this comparison, averaging 41 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for math in this comparison, averaging 77.3 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for reasoning in this comparison, averaging 70.6 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for agentic tasks in this comparison, averaging 52.5 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for multimodal and grounded tasks in this comparison, averaging 75.5 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for instruction following in this comparison, averaging 83 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for multilingual tasks in this comparison, averaging 78.8 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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