Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 nano
28
MiMo-V2.5-Pro
82
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+2.3 difference
GPT-4.1 nano
MiMo-V2.5-Pro
$0.1 / $0.4
$1 / $3
181 t/s
N/A
0.63s
N/A
1M
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 82 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro is also the more expensive model on tokens at $1.00 input / $3.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 7.5x on output cost alone. MiMo-V2.5-Pro is the reasoning model in the pair, while GPT-4.1 nano 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.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 82 to 28.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 50.3 versus 48. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.
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