Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5
74
Qwen3.5-122B-A10B
68
Verified leaderboard positions: MiMo-V2.5 unranked · Qwen3.5-122B-A10B #6
Pick MiMo-V2.5 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+9.7 difference
Coding
+15.9 difference
MiMo-V2.5
Qwen3.5-122B-A10B
$0.4 / $2
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick MiMo-V2.5 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if coding is the priority or you want the cheaper token bill.
MiMo-V2.5 is clearly ahead on the provisional aggregate, 74 to 68. 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 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 65.8% to 49.4%. Qwen3.5-122B-A10B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5 is also the more expensive model on tokens at $0.40 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. MiMo-V2.5 gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-A10B.
MiMo-V2.5 is ahead on BenchLM's provisional leaderboard, 74 to 68. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 65.8% and 49.4%.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 56.1. MiMo-V2.5 stays close enough that the answer can still flip depending on your workload.
MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 56.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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