Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Composer 2.5
82
MiniMax M2.7
62
Pick Composer 2.5 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.
Agentic
+12.3 difference
Composer 2.5
MiniMax M2.7
$0.5 / $2.5
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
200K
200K
Pick Composer 2.5 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 2.5 is clearly ahead on the provisional aggregate, 82 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Composer 2.5's sharpest advantage is in agentic, where it averages 69.3 against 57. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 69.3% to 57%.
Composer 2.5 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 2.5 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.
Composer 2.5 is ahead on BenchLM's provisional leaderboard, 82 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 69.3% and 57%.
Composer 2.5 has the edge for agentic tasks in this comparison, averaging 69.3 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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