Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3
36
DeepSeek V4 Flash (High)
71
Verified leaderboard positions: DeepSeek V3 unranked · DeepSeek V4 Flash (High) #19
Pick DeepSeek V4 Flash (High) if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+33.0 difference
Knowledge
+12.8 difference
DeepSeek V3
DeepSeek V4 Flash (High)
$0.27 / $1.1
$0.14 / $0.28
N/A
N/A
N/A
N/A
128K
1M
Pick DeepSeek V4 Flash (High) if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
DeepSeek V4 Flash (High) 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 Flash (High)'s sharpest advantage is in coding, where it averages 72.2 against 39.2. The single biggest benchmark swing on the page is LiveCodeBench, 37.6% to 88.4%. DeepSeek V3 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V3 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (High). That is roughly 3.9x on output cost alone. DeepSeek V4 Flash (High) is the reasoning model in the pair, while DeepSeek V3 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 (High) gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
DeepSeek V4 Flash (High) is ahead on BenchLM's provisional leaderboard, 71 to 36. The biggest single separator in this matchup is LiveCodeBench, where the scores are 37.6% and 88.4%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 70 versus 57.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash (High) has the edge for coding in this comparison, averaging 72.2 versus 39.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.