Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
79
Qwen3 235B 2507
35
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+11.1 difference
Kimi K2.5 (Reasoning)
Qwen3 235B 2507
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
128K
128K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 79 to 35. 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 76.2. The single biggest benchmark swing on the page is GPQA, 87.6% to 77.5%.
Kimi K2.5 (Reasoning) is the reasoning model in the pair, while Qwen3 235B 2507 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 79 to 35. The biggest single separator in this matchup is GPQA, where the scores are 87.6% and 77.5%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 76.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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