Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5
72
Qwen3.6 Plus
73
Verified leaderboard positions: MiMo-V2.5 unranked · Qwen3.6 Plus #14
Pick Qwen3.6 Plus if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if agentic is the priority.
Agentic
+4.2 difference
Coding
+8.7 difference
Multimodal
+0.7 difference
MiMo-V2.5
Qwen3.6 Plus
$null / $null
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick Qwen3.6 Plus if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if agentic is the priority.
Qwen3.6 Plus finishes one point ahead on BenchLM's provisional leaderboard, 73 to 72. 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.
Qwen3.6 Plus's sharpest advantage is in coding, where it averages 64.8 against 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 65.8% to 61.6%. MiMo-V2.5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Qwen3.6 Plus is ahead on BenchLM's provisional leaderboard, 73 to 72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 65.8% and 61.6%.
Qwen3.6 Plus has the edge for coding in this comparison, averaging 64.8 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 61.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 78.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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