Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
76
Qwen3.7 Plus
87
Verified leaderboard positions: Kimi K2.5 (Reasoning) unranked · Qwen3.7 Plus #3
Pick Qwen3.7 Plus if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority.
Agentic
+17.1 difference
Coding
+5.7 difference
Knowledge
+19.4 difference
Multimodal
+2.6 difference
Kimi K2.5 (Reasoning)
Qwen3.7 Plus
$0.6 / $3
N/A
N/A
N/A
N/A
N/A
128K
1M
Pick Qwen3.7 Plus if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority.
Qwen3.7 Plus is clearly ahead on the provisional aggregate, 87 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Plus's sharpest advantage is in agentic, where it averages 71.7 against 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 70.3%. 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 Plus gives you the larger context window at 1M, compared with 128K for Kimi K2.5 (Reasoning).
Qwen3.7 Plus is ahead on BenchLM's provisional leaderboard, 87 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 70.3%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 67.9. 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 71.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for agentic tasks in this comparison, averaging 71.7 versus 54.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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