Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 mini
47
MiMo-V2.5-Pro
82
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+33.6 difference
Knowledge
+16.2 difference
GPT-4.1 mini
MiMo-V2.5-Pro
$0.4 / $1.6
$1 / $3
80 t/s
N/A
0.76s
N/A
1M
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GPT-4.1 mini 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 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro's sharpest advantage is in coding, where it averages 57.2 against 23.6. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro is also the more expensive model on tokens at $1.00 input / $3.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. MiMo-V2.5-Pro is the reasoning model in the pair, while GPT-4.1 mini 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 47.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 versus 48. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.
MiMo-V2.5-Pro has the edge for coding in this comparison, averaging 57.2 versus 23.6. GPT-4.1 mini stays close enough that the answer can still flip depending on your workload.
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