Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5
72
Qwen3.6-27B
73
Verified leaderboard positions: MiMo-V2.5 unranked · Qwen3.6-27B #18
Pick Qwen3.6-27B if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+6.5 difference
Coding
+14.5 difference
Multimodal
+2.3 difference
MiMo-V2.5
Qwen3.6-27B
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick Qwen3.6-27B if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Qwen3.6-27B 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.
Qwen3.6-27B's sharpest advantage is in coding, where it averages 70.6 against 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 65.8% to 59.3%. MiMo-V2.5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5 gives you the larger context window at 1M, compared with 262K for Qwen3.6-27B.
Qwen3.6-27B 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 59.3%.
Qwen3.6-27B has the edge for coding in this comparison, averaging 70.6 versus 56.1. Inside this category, Terminal-Bench 2.0 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 59.3. Inside this category, Claw-Eval is the benchmark that creates the most daylight between them.
MiMo-V2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78.9 versus 76.6. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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