Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5-Pro
87
Qwen3.7 Max
93
Verified leaderboard positions: MiMo-V2.5-Pro unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+1.3 difference
Coding
+16.4 difference
Knowledge
+23.2 difference
MiMo-V2.5-Pro
Qwen3.7 Max
$null / $null
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in knowledge, where it averages 71.2 against 48. The single biggest benchmark swing on the page is HLE, 48% to 41.4%.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 87. The biggest single separator in this matchup is HLE, where the scores are 48% and 41.4%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 48. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for coding in this comparison, averaging 73.6 versus 57.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 68.4. Inside this category, Claw-Eval 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.