Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
GPT-5.4
88
Verified leaderboard positions: DeepSeek V4 Pro (Max) #2 · GPT-5.4 #16
Pick GPT-5.4 if you want the stronger benchmark profile. DeepSeek V4 Pro (Max) only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+3.0 difference
Coding
+18.2 difference
Knowledge
DeepSeek V4 Pro (Max)
GPT-5.4
$1.74 / $3.48
$2.5 / $15
N/A
74 t/s
N/A
151.79s
1M
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. DeepSeek V4 Pro (Max) only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.4 finishes one point ahead on BenchLM's provisional leaderboard, 88 to 87. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 74. The single biggest benchmark swing on the page is HLE, 37.7% to 52.1%. DeepSeek V4 Pro (Max) does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 4.3x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for DeepSeek V4 Pro (Max).
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 88 to 87. The biggest single separator in this matchup is HLE, where the scores are 37.7% and 52.1%.
DeepSeek V4 Pro (Max) and GPT-5.4 are effectively tied for knowledge tasks here, both landing at 66.1 on average.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 57.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 74. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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