Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
o1-pro
29
Verified leaderboard positions: DeepSeek V4 Flash #23 · o1-pro unranked
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Knowledge
+33.8 difference
DeepSeek V4 Flash
o1-pro
$0.14 / $0.28
$150 / $600
N/A
N/A
N/A
N/A
1M
200K
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
DeepSeek V4 Flash is clearly ahead on the provisional aggregate, 59 to 29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 2142.9x on output cost alone. o1-pro 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 200K for o1-pro.
DeepSeek V4 Flash is ahead on BenchLM's provisional leaderboard, 59 to 29. The biggest single separator in this matchup is GPQA, where the scores are 71.2% and 79%.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 45.2. 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.