DeepSeek-R1-Zero is the stronger all-rounder.
Scores updated · 18 tests both models report · How we compare
Where each one wins
Tests won in each of the two areas 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.
Coding and reasoning rest on a single test each.
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-R1-Zero pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+20.7points ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+10points ahead
Where GPT-4o pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 18 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Other results16 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.
- AIME 2024DeepSeek-R1-Zero by 68.69.377.9+68.6
- CodeforcesDeepSeek-R1-Zero by 685 rating points7591444+685 rating
- IFEvalGPT-4o by 34.48146.6+34.4
- Arena-Hard (GPT-4-1106 judge)GPT-4o by 26.880.453.6+26.8
- AlpacaEval2.0 (LC-winrate)GPT-4o by 26.451.124.7+26.4
- MATH-500 (EM)DeepSeek-R1-Zero by 21.374.695.9+21.3
- Aider-PolyglotGPT-4o by 18.530.712.2+18.5
- MMLUDeepSeek-R1-Zero by 1573.888.8+15
- LiveCodeBenchDeepSeek-R1-Zero by 11.738.350+11.7
- SimpleQAGPT-4o by 7.938.230.3+7.9
- Chinese SimpleQA (C-SimpleQA)DeepSeek-R1-Zero by 7.758.766.4+7.7
- MMLU-ProGPT-4o by 5.874.768.9+5.8
- DROP (3-shot F1)DeepSeek-R1-Zero by 5.483.789.1+5.4
- CLUEWSCDeepSeek-R1-Zero by 5.287.993.1+5.2
- MMLU-ReduxGPT-4o by 2.48885.6+2.4
- FRAMES (Acc.)DeepSeek-R1-Zero by 1.880.582.3+1.8
Questions people ask
Which is better, GPT-4o or DeepSeek-R1-Zero?
DeepSeek-R1-Zero wins all two areas where both have results: coding and reasoning. GPT-4o wins none.
Which is better for coding?
DeepSeek-R1-Zero. It wins the one coding test both models report.
How do you compare the two?
We use the 18 benchmark tests both models have published scores on. The verdict counts the 2 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 16 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.