Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5
64
MiniMax M2.7
62
Verified leaderboard positions: Kimi K2.5 #11 · MiniMax M2.7 unranked
Pick Kimi K2.5 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+2.4 difference
Coding
+10.5 difference
Kimi K2.5
MiniMax M2.7
$0.6 / $3
$0.3 / $1.2
45 t/s
45 t/s
2.38s
2.53s
256K
200K
Pick Kimi K2.5 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Kimi K2.5 has the cleaner provisional overall profile here, landing at 64 versus 62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Kimi K2.5's sharpest advantage is in coding, where it averages 64.2 against 53.7. The single biggest benchmark swing on the page is SWE-Rebench, 58.5% to 51.9%. MiniMax M2.7 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Kimi K2.5 is also the more expensive model on tokens at $0.60 input / $3.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 2.5x on output cost alone. Kimi K2.5 gives you the larger context window at 256K, compared with 200K for MiniMax M2.7.
Kimi K2.5 is ahead on BenchLM's provisional leaderboard, 64 to 62. The biggest single separator in this matchup is SWE-Rebench, where the scores are 58.5% and 51.9%.
Kimi K2.5 has the edge for coding in this comparison, averaging 64.2 versus 53.7. Inside this category, SWE-Rebench is the benchmark that creates the most daylight between them.
MiniMax M2.7 has the edge for agentic tasks in this comparison, averaging 57 versus 54.6. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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