Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 Pro
91
Kimi K2.6
84
Verified leaderboard positions: GPT-5.4 Pro unranked · Kimi K2.6 #6
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+16.2 difference
Knowledge
+4.8 difference
Multimodal
+14.3 difference
GPT-5.4 Pro
Kimi K2.6
$30 / $180
$0.95 / $4
74 t/s
N/A
151.79s
N/A
1.05M
256K
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 84. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in agentic, where it averages 89.3 against 73.1. The single biggest benchmark swing on the page is HLE, 58.7% to 34.7%. Kimi K2.6 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. That is roughly 45.0x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for Kimi K2.6.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 84. The biggest single separator in this matchup is HLE, where the scores are 58.7% and 34.7%.
Kimi K2.6 has the edge for knowledge tasks in this comparison, averaging 53.8 versus 49. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 73.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 79.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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