Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi 2.6
83
Qwen 3.6 Max (preview)
72
Verified leaderboard positions: Kimi 2.6 #5 · Qwen 3.6 Max (preview) unranked
Pick Kimi 2.6 if you want the stronger benchmark profile. Qwen 3.6 Max (preview) only becomes the better choice if knowledge is the priority.
Agentic
+7.7 difference
Coding
+17.9 difference
Knowledge
+20.1 difference
Kimi 2.6
Qwen 3.6 Max (preview)
$0 / $0
N/A
N/A
N/A
N/A
N/A
256K
256K
Pick Kimi 2.6 if you want the stronger benchmark profile. Qwen 3.6 Max (preview) only becomes the better choice if knowledge is the priority.
Kimi 2.6 is clearly ahead on the provisional aggregate, 83 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi 2.6's sharpest advantage is in coding, where it averages 72 against 54.1. The single biggest benchmark swing on the page is SciCode, 52.2% to 47%. Qwen 3.6 Max (preview) does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Kimi 2.6 is ahead on BenchLM's provisional leaderboard, 83 to 72. The biggest single separator in this matchup is SciCode, where the scores are 52.2% and 47%.
Qwen 3.6 Max (preview) has the edge for knowledge tasks in this comparison, averaging 73.9 versus 53.8. Kimi 2.6 stays close enough that the answer can still flip depending on your workload.
Kimi 2.6 has the edge for coding in this comparison, averaging 72 versus 54.1. Inside this category, SciCode is the benchmark that creates the most daylight between them.
Kimi 2.6 has the edge for agentic tasks in this comparison, averaging 73.1 versus 65.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.