Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
GPT-5.2
82
Verified leaderboard positions: DeepSeek V4 Flash #23 · GPT-5.2 unranked
Pick GPT-5.2 if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Agentic
+6.1 difference
Coding
+7.6 difference
Knowledge
+47.2 difference
DeepSeek V4 Flash
GPT-5.2
$0.14 / $0.28
$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 Flash only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-5.2 is clearly ahead on the provisional aggregate, 82 to 59. 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 45.2. The single biggest benchmark swing on the page is GPQA, 71.2% to 92.4%.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 50.0x on output cost alone. GPT-5.2 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. DeepSeek V4 Flash 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 59. The biggest single separator in this matchup is GPQA, where the scores are 71.2% and 92.4%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 45.2. 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 57.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for agentic tasks in this comparison, averaging 55.2 versus 49.1. DeepSeek V4 Flash stays close enough that the answer can still flip depending on your workload.
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