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 56. 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 27.6. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 24. Seed 1.6 Flash does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Mistral Large 3 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 20.0x on output cost alone. Seed 1.6 Flash is the reasoning model in the pair, while Mistral Large 3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Seed 1.6 Flash 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 1.6 Flash only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Mistral Large 3
52.5
Seed 1.6 Flash
54.5
Mistral Large 3
41
Seed 1.6 Flash
27.6
Mistral Large 3
75.5
Seed 1.6 Flash
73.1
Mistral Large 3
70.6
Seed 1.6 Flash
66.8
Mistral Large 3
57.1
Seed 1.6 Flash
47.3
Mistral Large 3
83
Seed 1.6 Flash
81
Mistral Large 3
78.8
Seed 1.6 Flash
72.8
Mistral Large 3
77.3
Seed 1.6 Flash
67.1
Mistral Large 3 is ahead overall, 61 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 24.
Mistral Large 3 has the edge for knowledge tasks in this comparison, averaging 57.1 versus 47.3. 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 27.6. 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 67.1. 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 66.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 52.5. Inside this category, BrowseComp 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 81. 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 72.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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