Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
GPT-5.4 Pro
91
Verified leaderboard positions: DeepSeek V4 Flash #23 · GPT-5.4 Pro unranked
Pick GPT-5.4 Pro if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+40.2 difference
Knowledge
+3.8 difference
DeepSeek V4 Flash
GPT-5.4 Pro
$0.14 / $0.28
$30 / $180
N/A
74 t/s
N/A
151.79s
1M
1.05M
Pick GPT-5.4 Pro if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 59. 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 49.1. The single biggest benchmark swing on the page is HLE, 8.1% to 58.7%.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 642.9x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while DeepSeek V4 Flash 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 Pro gives you the larger context window at 1.05M, compared with 1M for DeepSeek V4 Flash.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 59. The biggest single separator in this matchup is HLE, where the scores are 8.1% and 58.7%.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 49 versus 45.2. 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 49.1. DeepSeek V4 Flash stays close enough that the answer can still flip depending on your workload.
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