DeepSeek-V3 is the stronger all-rounder.
Scores updated · 13 tests both models report · How we compare
Where each one wins
Tests won in each of the one area where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
Reasoning rests on a single test.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where DeepSeek-V3 pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+27.6points ahead
Where Qwen2 72B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Other results12 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- MATHDeepSeek-V3 by 39.190.251.1+39.1
- ARC-ChallengeDeepSeek-V3 by 26.495.368.9+26.4
- MultiPL-EDeepSeek-V3 by 23.583.159.6+23.5
- MMLU-ProDeepSeek-V3 by 20.375.955.6+20.3
- BBHDeepSeek-V3 by 5.187.582.4+5.1
- C-EvalQwen2 72B by 4.586.591+4.5
- GSM8KDeepSeek-V3 by 4.59489.5+4.5
- MMLUDeepSeek-V3 by 4.388.584.2+4.3
- MBPPQwen2 72B by 1.575.476.9+1.5
- CMMLUQwen2 72B by 1.388.890.1+1.3
- HellaSwagDeepSeek-V3 by 1.388.987.6+1.3
- HumanEvaltie65.264.6tie
Questions people ask
Which is better, DeepSeek-V3 or Qwen2 72B?
DeepSeek-V3 wins the one area where both have results: reasoning. Qwen2 72B wins none.
How do you compare the two?
We use the 13 benchmark tests both models have published scores on. The verdict counts the 1 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 12 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.