Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
58
MiniMax M2.7
62
Pick MiniMax M2.7 if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if coding is the priority or you need the larger 1M context window.
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 MiniMax M2.7 if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if coding is the priority or you need the larger 1M context window.
MiniMax M2.7 is clearly ahead on the provisional aggregate, 62 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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.
MiniMax M2.7 is ahead on BenchLM's provisional leaderboard, 62 to 58.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 53.7. MiniMax M2.7 stays close enough that the answer can still flip depending on your workload.
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