Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2-Flash
61
o1-pro
29
Pick MiMo-V2-Flash if you want the stronger benchmark profile. o1-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+5.5 difference
MiMo-V2-Flash
o1-pro
$0 / $0
$150 / $600
129 t/s
N/A
2.14s
N/A
256K
200K
Pick MiMo-V2-Flash if you want the stronger benchmark profile. o1-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MiMo-V2-Flash is clearly ahead on the provisional aggregate, 61 to 29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in knowledge, where it averages 84.5 against 79. The single biggest benchmark swing on the page is GPQA, 83.7% to 79%.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. MiMo-V2-Flash gives you the larger context window at 256K, compared with 200K for o1-pro.
MiMo-V2-Flash is ahead on BenchLM's provisional leaderboard, 61 to 29. The biggest single separator in this matchup is GPQA, where the scores are 83.7% and 79%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 79. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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