Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3.2
60
GPT-5.4
93
Verified leaderboard positions: DeepSeek V3.2 unranked · GPT-5.4 #4
Pick GPT-5.4 if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Coding
+3.2 difference
DeepSeek V3.2
GPT-5.4
$0 / $0
$2.5 / $15
35 t/s
74 t/s
3.75s
151.79s
128K
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. DeepSeek V3.2 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, 93 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.2. That is roughly Infinityx on output cost alone. GPT-5.4 is the reasoning model in the pair, while DeepSeek V3.2 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 128K for DeepSeek V3.2.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 93 to 60.
DeepSeek V3.2 has the edge for coding in this comparison, averaging 60.9 versus 57.7. GPT-5.4 stays close enough that the answer can still flip depending on your workload.
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