Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Composer 2 finishes one point ahead overall, 62 to 61. 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.
Composer 2's sharpest advantage is in agentic, where it averages 61.7 against 57. The single biggest benchmark swing on the page is React Native Evals, 97.2% to 76.1%.
Composer 2 is also the more expensive model on tokens at $0.50 input / $2.50 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 2.1x on output cost alone. Composer 2 is the reasoning model in the pair, while MiniMax M2.7 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.
Pick Composer 2 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Composer 2
61.7
MiniMax M2.7
57
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.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Composer 2 is ahead overall, 62 to 61. The biggest single separator in this matchup is React Native Evals, where the scores are 97.2% and 76.1%.
Composer 2 has the edge for agentic tasks in this comparison, averaging 61.7 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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