Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
76
Qwen3.5-27B
63
Verified leaderboard positions: Kimi K2.5 (Reasoning) unranked · Qwen3.5-27B #16
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if you want the cheaper token bill or you need the larger 262K context window.
Agentic
+3.0 difference
Coding
+13.8 difference
Knowledge
+6.7 difference
Kimi K2.5 (Reasoning)
Qwen3.5-27B
$0.6 / $3
$0 / $0
N/A
N/A
N/A
N/A
128K
262K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if you want the cheaper token bill or you need the larger 262K context window.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 76 to 63. 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 63. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 41.6%.
Kimi K2.5 (Reasoning) is also the more expensive model on tokens at $0.60 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-27B. That is roughly Infinityx on output cost alone. Qwen3.5-27B 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, 76 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 41.6%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 80.6. 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 63. 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 51.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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