Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
93
Kimi K2.5 (Reasoning)
79
Verified leaderboard positions: GPT-5.4 #4 · Kimi K2.5 (Reasoning) unranked
Pick GPT-5.4 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if coding is the priority.
Agentic
+22.4 difference
Coding
+19.1 difference
Knowledge
+5.5 difference
Multimodal
+2.7 difference
GPT-5.4
Kimi K2.5 (Reasoning)
$2.5 / $15
$null / $null
74 t/s
N/A
151.79s
N/A
1.05M
128K
Pick GPT-5.4 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if coding is the priority.
GPT-5.4 is clearly ahead on the provisional aggregate, 93 to 79. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% to 50.8%. 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-5.4 gives you the larger context window at 1.05M, compared with 128K for Kimi K2.5 (Reasoning).
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 93 to 79. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 75.1% and 50.8%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 92.8 versus 87.3. 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 57.7. GPT-5.4 stays close enough that the answer can still flip depending on your workload.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 54.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 81.2 versus 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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