Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.6
84
MiMo-V2.5
71
Verified leaderboard positions: Kimi K2.6 #6 · MiMo-V2.5 unranked
Pick Kimi K2.6 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if you need the larger 1M context window.
Agentic
+7.3 difference
Coding
+15.9 difference
Multimodal
+0.8 difference
Kimi K2.6
MiMo-V2.5
$0.95 / $4
$null / $null
N/A
N/A
N/A
N/A
256K
1M
Pick Kimi K2.6 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if you need the larger 1M context window.
Kimi K2.6 is clearly ahead on the provisional aggregate, 84 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6's sharpest advantage is in coding, where it averages 72 against 56.1. The single biggest benchmark swing on the page is SWE-bench Pro, 58.6% to 56.1%.
MiMo-V2.5 gives you the larger context window at 1M, compared with 256K for Kimi K2.6.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 84 to 71. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 58.6% and 56.1%.
Kimi K2.6 has the edge for coding in this comparison, averaging 72 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.1 versus 65.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.7 versus 78.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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