The two are evenly matched.Claude 3.5 Sonnet is better at coding; DeepSeek-R1-Zero at reasoning.
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 Claude 3.5 Sonnet pulls ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+5.8points ahead
Where DeepSeek-R1-Zero pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+17.3points ahead
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.
- CodeforcesDeepSeek-R1-Zero by 727 rating points7171444+727 rating
- AIME 2024DeepSeek-R1-Zero by 61.91677.9+61.9
- IFEvalClaude 3.5 Sonnet by 39.986.546.6+39.9
- Aider-PolyglotClaude 3.5 Sonnet by 33.145.312.2+33.1
- Arena-Hard (GPT-4-1106 judge)Claude 3.5 Sonnet by 31.685.253.6+31.6
- AlpacaEval2.0 (LC-winrate)Claude 3.5 Sonnet by 27.35224.7+27.3
- MATH-500 (EM)DeepSeek-R1-Zero by 17.678.395.9+17.6
- LiveCodeBenchDeepSeek-R1-Zero by 17.232.850+17.2
- Chinese SimpleQA (C-SimpleQA)DeepSeek-R1-Zero by 1155.466.4+11
- FRAMES (Acc.)DeepSeek-R1-Zero by 9.872.582.3+9.8
- MMLU-ProClaude 3.5 Sonnet by 8.777.668.9+8.7
- CLUEWSCDeepSeek-R1-Zero by 7.785.493.1+7.7
- MMLU-ReduxClaude 3.5 Sonnet by 3.388.985.6+3.3
- SimpleQADeepSeek-R1-Zero by 1.928.430.3+1.9
- DROP (3-shot F1)tie88.389.1tie
- MMLUtie88.788.8tie
Questions people ask
Which is better, Claude 3.5 Sonnet or DeepSeek-R1-Zero?
Claude 3.5 Sonnet and DeepSeek-R1-Zero each win one of the two areas where both have results. Claude 3.5 Sonnet wins coding; DeepSeek-R1-Zero wins reasoning.
Which is better for coding?
Claude 3.5 Sonnet. 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.