Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
76
Qwen3.7 Max
93
Verified leaderboard positions: Kimi K2.5 (Reasoning) unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority.
Agentic
+15.1 difference
Coding
+3.2 difference
Knowledge
+16.1 difference
Kimi K2.5 (Reasoning)
Qwen3.7 Max
$0.6 / $3
$null / $null
N/A
N/A
N/A
N/A
128K
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in agentic, where it averages 69.7 against 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 69.7%. Kimi K2.5 (Reasoning) does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max gives you the larger context window at 1M, compared with 128K for Kimi K2.5 (Reasoning).
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 69.7%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 71.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 73.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 54.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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