Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
71
GPT-4.1 nano
27
Verified leaderboard positions: DeepSeek V4 Pro #22 · GPT-4.1 nano unranked
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+0.9 difference
DeepSeek V4 Pro
GPT-4.1 nano
$1.74 / $3.48
$0.1 / $0.4
N/A
181 t/s
N/A
0.63s
1M
1M
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
DeepSeek V4 Pro is clearly ahead on the provisional aggregate, 71 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 8.7x on output cost alone.
DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 71 to 27. The biggest single separator in this matchup is GPQA, where the scores are 72.9% and 50.3%.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 50.3 versus 49.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.