Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
57
MiniMax M2.7
53
Pick GPT-4.1 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill.
Coding
+0.9 difference
GPT-4.1
MiniMax M2.7
$2 / $8
$0.3 / $1.2
108 t/s
45 t/s
1.02s
2.53s
1M
200K
Pick GPT-4.1 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill.
GPT-4.1 is clearly ahead on the provisional aggregate, 57 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in coding, where it averages 54.6 against 53.7.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 6.7x on output cost alone. GPT-4.1 gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
GPT-4.1 is ahead on BenchLM's provisional leaderboard, 57 to 53.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 53.7. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
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