Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.6
84
MiMo-V2.5-Pro
86
Verified leaderboard positions: Kimi K2.6 #9 · MiMo-V2.5-Pro unranked
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if coding is the priority.
Agentic
+4.7 difference
Coding
+14.8 difference
Knowledge
+5.8 difference
Kimi K2.6
MiMo-V2.5-Pro
$0.95 / $4
$null / $null
N/A
N/A
N/A
N/A
256K
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if coding is the priority.
MiMo-V2.5-Pro has the cleaner provisional overall profile here, landing at 86 versus 84. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 256K for Kimi K2.6.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 86 to 84. The biggest single separator in this matchup is HLE, where the scores are 34.7% and 48%.
Kimi K2.6 has the edge for knowledge tasks in this comparison, averaging 53.8 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for coding in this comparison, averaging 72 versus 57.2. Inside this category, AA-SciCode 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 68.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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