Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
81
Kimi K2.6
84
Verified leaderboard positions: GPT-5.2 unranked · Kimi K2.6 #6
Pick Kimi K2.6 if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
Agentic
+17.9 difference
Coding
+7.3 difference
Knowledge
+38.6 difference
Multimodal
+0.6 difference
GPT-5.2
Kimi K2.6
$1.75 / $14
$0.95 / $4
73 t/s
N/A
130.34s
N/A
400K
256K
Pick Kimi K2.6 if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
Kimi K2.6 has the cleaner provisional overall profile here, landing at 84 versus 81. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Kimi K2.6's sharpest advantage is in agentic, where it averages 73.1 against 55.2. The single biggest benchmark swing on the page is OSWorld-Verified, 47.3% to 73.1%. GPT-5.2 does hit back in knowledge, 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 $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. That is roughly 3.5x on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 256K for Kimi K2.6.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 84 to 81. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 47.3% and 73.1%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 53.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for coding in this comparison, averaging 72 versus 64.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.1 versus 55.2. Inside this category, OSWorld-Verified 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 79.7. Inside this category, V* is the benchmark that creates the most daylight between them.
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