Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3
36
DeepSeek V4 Pro
71
Verified leaderboard positions: DeepSeek V3 unranked · DeepSeek V4 Pro #22
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+19.6 difference
Knowledge
+20.6 difference
DeepSeek V3
DeepSeek V4 Pro
$0.27 / $1.1
$1.74 / $3.48
N/A
N/A
N/A
N/A
128K
1M
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. DeepSeek V3 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 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in coding, where it averages 58.8 against 39.2. The single biggest benchmark swing on the page is SWE-bench Verified, 42% to 73.6%. DeepSeek V3 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek V3. That is roughly 3.2x on output cost alone. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 71 to 36. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 42% and 73.6%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 70 versus 49.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for coding in this comparison, averaging 58.8 versus 39.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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