Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro Base
43
GPT-5.4 nano
61
Pick GPT-5.4 nano if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Knowledge
+10.2 difference
DeepSeek V4 Pro Base
GPT-5.4 nano
$null / $null
$0.2 / $1.25
N/A
191 t/s
N/A
3.64s
1M
400K
Pick GPT-5.4 nano if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
GPT-5.4 nano is clearly ahead on the provisional aggregate, 61 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 nano is the reasoning model in the pair, while DeepSeek V4 Pro Base 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. DeepSeek V4 Pro Base gives you the larger context window at 1M, compared with 400K for GPT-5.4 nano.
GPT-5.4 nano is ahead on BenchLM's provisional leaderboard, 61 to 43.
DeepSeek V4 Pro Base has the edge for knowledge tasks in this comparison, averaging 63.4 versus 53.2. GPT-5.4 nano stays close enough that the answer can still flip depending on your workload.
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