Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5
74
Qwen3.6-35B-A3B
70
Verified leaderboard positions: MiMo-V2.5 unranked · Qwen3.6-35B-A3B #15
Pick MiMo-V2.5 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if coding is the priority.
Agentic
+14.3 difference
Coding
+10.8 difference
Multimodal
+2.6 difference
MiMo-V2.5
Qwen3.6-35B-A3B
$0.4 / $2
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick MiMo-V2.5 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if coding is the priority.
MiMo-V2.5 is clearly ahead on the provisional aggregate, 74 to 70. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5's sharpest advantage is in agentic, where it averages 65.8 against 51.5. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 65.8% to 51.5%. Qwen3.6-35B-A3B does hit back in coding, 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 Qwen3.6-35B-A3B.
MiMo-V2.5 is ahead on BenchLM's provisional leaderboard, 74 to 70. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 65.8% and 51.5%.
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 66.9 versus 56.1. Inside this category, terminalBench2 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 51.5. Inside this category, Terminal-Bench 2.0 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 77.9 versus 75.3. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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