Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
77
o1
58
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. o1 only becomes the better choice if you need the larger 200K context window.
Knowledge
+11.6 difference
Kimi K2.5 (Reasoning)
o1
$0.6 / $3
$15 / $60
N/A
98 t/s
N/A
32.29s
128K
200K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. o1 only becomes the better choice if you need the larger 200K context window.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 77 to 58. 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 75.7. The single biggest benchmark swing on the page is GPQA, 87.6% to 75.7%.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). That is roughly 20.0x on output cost alone. o1 gives you the larger context window at 200K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 77 to 58. The biggest single separator in this matchup is GPQA, where the scores are 87.6% and 75.7%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 75.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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