Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5
64
MiMo-V2.5
71
Verified leaderboard positions: Kimi K2.5 #11 · MiMo-V2.5 unranked
Pick MiMo-V2.5 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+11.2 difference
Coding
+8.1 difference
Multimodal
+0.4 difference
Kimi K2.5
MiMo-V2.5
$0.6 / $3
$null / $null
45 t/s
N/A
2.38s
N/A
256K
1M
Pick MiMo-V2.5 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2.5 is clearly ahead on the provisional aggregate, 71 to 64. 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 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 65.8%. Kimi K2.5 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 the reasoning model in the pair, while Kimi K2.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2.5 gives you the larger context window at 1M, compared with 256K for Kimi K2.5.
MiMo-V2.5 is ahead on BenchLM's provisional leaderboard, 71 to 64. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 65.8%.
Kimi K2.5 has the edge for coding in this comparison, averaging 64.2 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 54.6. 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 78.9 versus 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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