Claude 3.5 Sonnet wins more areas, narrowly.DeepSeek-R1-Distill-Llama-8B is cheaper.
Scores updated · 12 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 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.
DeepSeek-R1-Distill-Llama-8B costs 99% less for the same work.
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
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+25.8points ahead
- Code for real scientific research problemsSciCode+19.7points ahead
Where DeepSeek-R1-Distill-Llama-8B pulls ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+1points ahead
Every test, side by side
All 12 tests both models report. The winning score is in its model's colour; marks a score checked independently.
ReasoningEven
- GPQA DiamondClaude 3.5 Sonnet by 25.85630.2+25.8
- Humanity's Last ExamDeepSeek-R1-Distill-Llama-8B by 13.24.2+1
Other results9 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.
- Arena HardClaude 3.5 Sonnet by 6279.217.2+62
- Codeforces (Rating)DeepSeek-R1-Distill-Llama-8B by 488 rating points7171205+488 rating
- DROPClaude 3.5 Sonnet by 37.487.149.7+37.4
- AIME 2024DeepSeek-R1-Distill-Llama-8B by 34.41650.4+34.4
- HumanEvalClaude 3.5 Sonnet by 26.293.767.5+26.2
- GSM8KClaude 3.5 Sonnet by 24.296.472.2+24.2
- MATH-500 (EM)DeepSeek-R1-Distill-Llama-8B by 10.878.389.1+10.8
- LiveCodeBenchDeepSeek-R1-Distill-Llama-8B by 6.832.839.6+6.8
- AA Intelligencetie7.26.5tie
Questions people ask
Which is better, Claude 3.5 Sonnet or DeepSeek-R1-Distill-Llama-8B?
Claude 3.5 Sonnet wins one of the two areas where both have results: coding. DeepSeek-R1-Distill-Llama-8B wins none, but costs 99% less. They are level on reasoning.
Which is better for coding?
Claude 3.5 Sonnet. It wins the one coding test both models report.
Which is cheaper?
Claude 3.5 Sonnet costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek-R1-Distill-Llama-8B costs $0.05 and $0.05. That makes DeepSeek-R1-Distill-Llama-8B about 99% cheaper for the same work.
How do you compare the two?
We use the 12 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 9 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.