Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5-Pro
86
Qwen3 235B 2507
32
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+28.2 difference
MiMo-V2.5-Pro
Qwen3 235B 2507
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 86 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro is the reasoning model in the pair, while Qwen3 235B 2507 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 gives you the larger context window at 1M, compared with 128K for Qwen3 235B 2507.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 86 to 32.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 48. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.