Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2-Flash
61
o1
58
Pick MiMo-V2-Flash if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+8.8 difference
MiMo-V2-Flash
o1
$0 / $0
$15 / $60
129 t/s
98 t/s
2.14s
32.29s
256K
200K
Pick MiMo-V2-Flash if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MiMo-V2-Flash has the cleaner provisional overall profile here, landing at 61 versus 58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2-Flash's sharpest advantage is in knowledge, where it averages 84.5 against 75.7. The single biggest benchmark swing on the page is GPQA, 83.7% to 75.7%.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 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.
MiMo-V2-Flash is ahead on BenchLM's provisional leaderboard, 61 to 58. The biggest single separator in this matchup is GPQA, where the scores are 83.7% and 75.7%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 75.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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