Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
71
GPT-5.2
82
Verified leaderboard positions: DeepSeek V4 Pro #22 · GPT-5.2 unranked
Pick GPT-5.2 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+3.9 difference
Coding
+5.9 difference
Knowledge
+43.0 difference
DeepSeek V4 Pro
GPT-5.2
$1.74 / $3.48
$1.75 / $14
N/A
73 t/s
N/A
130.34s
1M
400K
Pick GPT-5.2 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if agentic is the priority or you want the cheaper token bill.
GPT-5.2 is clearly ahead on the provisional aggregate, 82 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 49.4. The single biggest benchmark swing on the page is GPQA, 72.9% to 92.4%. DeepSeek V4 Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro. That is roughly 4.0x on output cost alone. GPT-5.2 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. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 400K for GPT-5.2.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 82 to 71. The biggest single separator in this matchup is GPQA, where the scores are 72.9% and 92.4%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 49.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 versus 58.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 55.2. GPT-5.2 stays close enough that the answer can still flip depending on your workload.
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