Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Composer 2.5
81
MiniMax M3
76
Verified leaderboard positions: Composer 2.5 unranked · MiniMax M3 #12
Pick Composer 2.5 if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+2.6 difference
Composer 2.5
MiniMax M3
$0.5 / $2.5
$0.3 / $1.2
N/A
N/A
N/A
N/A
200K
1M
Pick Composer 2.5 if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Composer 2.5 is clearly ahead on the provisional aggregate, 81 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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 M3. That is roughly 2.1x on output cost alone. Composer 2.5 is the reasoning model in the pair, while MiniMax M3 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. MiniMax M3 gives you the larger context window at 1M, compared with 200K for Composer 2.5.
Composer 2.5 is ahead on BenchLM's provisional leaderboard, 81 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 69.3% and 66%.
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 71.9 versus 69.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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