Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
71
GPT-5.4
88
Verified leaderboard positions: DeepSeek V4 Pro #22 · GPT-5.4 #16
Pick GPT-5.4 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+17.9 difference
Coding
+1.1 difference
Knowledge
+16.7 difference
DeepSeek V4 Pro
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 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 88 to 71. 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 59.1. The single biggest benchmark swing on the page is HLE, 7.7% to 52.1%. DeepSeek V4 Pro 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. That is roughly 4.3x on output cost alone. GPT-5.4 is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for DeepSeek V4 Pro.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 88 to 71. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 52.1%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 66.1 versus 49.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for coding in this comparison, averaging 58.8 versus 57.7. Inside this category, SWE-bench Pro 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 59.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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