Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5-Pro
82
Qwen3 235B 2507
35
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 want the cheaper token bill.
Knowledge
+28.2 difference
MiMo-V2.5-Pro
Qwen3 235B 2507
$1 / $3
$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 want the cheaper token bill.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 82 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro is also the more expensive model on tokens at $1.00 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507. That is roughly Infinityx on output cost alone. 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, 82 to 35.
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.
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