Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
GPT-4.1 nano
27
Verified leaderboard positions: DeepSeek V4 Flash #23 · GPT-4.1 nano unranked
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority.
Knowledge
+5.1 difference
DeepSeek V4 Flash
GPT-4.1 nano
$0.14 / $0.28
$0.1 / $0.4
N/A
181 t/s
N/A
0.63s
1M
1M
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority.
DeepSeek V4 Flash is clearly ahead on the provisional aggregate, 59 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash.
DeepSeek V4 Flash is ahead on BenchLM's provisional leaderboard, 59 to 27. The biggest single separator in this matchup is GPQA, where the scores are 71.2% and 50.3%.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 50.3 versus 45.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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