Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5-Pro
86
Qwen3.7 Plus
87
Verified leaderboard positions: MiMo-V2.5-Pro unranked · Qwen3.7 Plus #3
Pick Qwen3.7 Plus 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
+3.3 difference
Coding
+13.9 difference
Knowledge
+19.9 difference
MiMo-V2.5-Pro
Qwen3.7 Plus
$null / $null
N/A
N/A
N/A
N/A
N/A
1M
1M
Pick Qwen3.7 Plus 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 Plus finishes one point ahead on BenchLM's provisional leaderboard, 87 to 86. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Qwen3.7 Plus's sharpest advantage is in knowledge, where it averages 67.9 against 48. The single biggest benchmark swing on the page is HLE, 48% to 34.7%.
Qwen3.7 Plus is ahead on BenchLM's provisional leaderboard, 87 to 86. The biggest single separator in this matchup is HLE, where the scores are 48% and 34.7%.
Qwen3.7 Plus has the edge for knowledge tasks in this comparison, averaging 67.9 versus 48. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for coding in this comparison, averaging 71.1 versus 57.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for agentic tasks in this comparison, averaging 71.7 versus 68.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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