Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
77
o3-mini
56
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. o3-mini only becomes the better choice if you need the larger 200K context window.
Coding
+27.5 difference
Knowledge
+10.1 difference
Kimi K2.5 (Reasoning)
o3-mini
$0.6 / $3
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
128K
200K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. o3-mini 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 56. 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 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 76.8% to 49.3%.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). o3-mini 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 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 76.8% and 49.3%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 77.2. 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 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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