Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2-Flash
61
o3-mini
56
Pick MiMo-V2-Flash 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
+24.1 difference
Knowledge
+7.3 difference
MiMo-V2-Flash
o3-mini
$0 / $0
$1.1 / $4.4
129 t/s
160 t/s
2.14s
7.12s
256K
200K
Pick MiMo-V2-Flash 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-Flash is clearly ahead on the provisional aggregate, 61 to 56. 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 coding, where it averages 73.4 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 73.4% to 49.3%.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 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 o3-mini.
MiMo-V2-Flash is ahead on BenchLM's provisional leaderboard, 61 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 73.4% and 49.3%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 77.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.