Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
76
MiniMax M2.7
62
Pick Kimi K2.5 (Reasoning) 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
+23.1 difference
Kimi K2.5 (Reasoning)
MiniMax M2.7
$0.6 / $3
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
128K
200K
Pick Kimi K2.5 (Reasoning) 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 (Reasoning) is clearly ahead on the provisional aggregate, 76 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in coding, where it averages 76.8 against 53.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 57%. 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 (Reasoning) 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 (Reasoning) is the reasoning model in the pair, while MiniMax M2.7 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. MiniMax M2.7 gives you the larger context window at 200K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 76 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 57%.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 53.7. Inside this category, Vibe Code Bench 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, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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