Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 2 finishes one point ahead overall, 58 to 57. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
MiniMax M2.7 gives you the larger context window at 200K, compared with 128K for Mistral Large 2.
Pick Mistral Large 2 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if coding is the priority or you need the larger 200K context window.
MiniMax M2.7
57
Mistral Large 2
52.2
MiniMax M2.7
56.2
Mistral Large 2
42.2
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mistral Large 2 is ahead overall, 58 to 57. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 56.2% and 44%.
MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 42.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiniMax M2.7 has the edge for agentic tasks in this comparison, averaging 57 versus 52.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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