Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
79
Qwen3.6-35B-A3B
64
Verified leaderboard positions: Kimi K2.5 (Reasoning) unranked · Qwen3.6-35B-A3B #13
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if you need the larger 262K context window.
Agentic
+3.1 difference
Coding
+9.9 difference
Knowledge
+26.8 difference
Multimodal
+3.2 difference
Kimi K2.5 (Reasoning)
Qwen3.6-35B-A3B
$null / $null
N/A
N/A
N/A
N/A
N/A
128K
262K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if you need the larger 262K context window.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 79 to 64. 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 knowledge, where it averages 87.3 against 60.5. The single biggest benchmark swing on the page is SWE-bench Verified, 76.8% to 73.4%.
Qwen3.6-35B-A3B gives you the larger context window at 262K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 79 to 64. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 76.8% and 73.4%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 60.5. Inside this category, MMLU-Pro 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 66.9. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for agentic tasks in this comparison, averaging 54.6 versus 51.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 75.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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