Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiniMax M2.7
54
o3-mini
55
Pick o3-mini if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Coding
+4.4 difference
MiniMax M2.7
o3-mini
$0.3 / $1.2
$1.1 / $4.4
45 t/s
160 t/s
2.53s
7.12s
200K
200K
Pick o3-mini if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if coding is the priority or you want the cheaper token bill.
o3-mini finishes one point ahead on BenchLM's provisional leaderboard, 55 to 54. 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.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 3.7x on output cost alone. o3-mini 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.
o3-mini is ahead on BenchLM's provisional leaderboard, 55 to 54.
MiniMax M2.7 has the edge for coding in this comparison, averaging 53.7 versus 49.3. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
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