Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
79
Kimi K2.5 (Reasoning)
76
Pick GPT-5.2 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+0.6 difference
Coding
+12.1 difference
Knowledge
+5.1 difference
Multimodal
+1.8 difference
GPT-5.2
Kimi K2.5 (Reasoning)
$1.75 / $14
$0.6 / $3
73 t/s
N/A
130.34s
N/A
400K
128K
Pick GPT-5.2 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.2 has the cleaner provisional overall profile here, landing at 79 versus 76. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 87.3. The single biggest benchmark swing on the page is BrowseComp, 65.8% to 60.6%. Kimi K2.5 (Reasoning) does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). That is roughly 4.7x on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 128K for Kimi K2.5 (Reasoning).
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 79 to 76. The biggest single separator in this matchup is BrowseComp, where the scores are 65.8% and 60.6%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 87.3. Inside this category, AA-Omniscience Hallucination Rate 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 64.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for agentic tasks in this comparison, averaging 55.2 versus 54.6. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.3 versus 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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