Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5
74
o3-mini
58
Pick MiMo-V2.5 if you want the stronger benchmark profile. o3-mini only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+6.8 difference
MiMo-V2.5
o3-mini
$0.4 / $2
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
1M
200K
Pick MiMo-V2.5 if you want the stronger benchmark profile. o3-mini only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MiMo-V2.5 is clearly ahead on the provisional aggregate, 74 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5's sharpest advantage is in coding, where it averages 56.1 against 49.3.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.40 input / $2.00 output per 1M tokens for MiMo-V2.5. That is roughly 2.2x on output cost alone. MiMo-V2.5 gives you the larger context window at 1M, compared with 200K for o3-mini.
MiMo-V2.5 is ahead on BenchLM's provisional leaderboard, 74 to 58.
MiMo-V2.5 has the edge for coding in this comparison, averaging 56.1 versus 49.3. o3-mini stays close enough that the answer can still flip depending on your workload.
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