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Claude 3.5 Sonnet vs DeepSeek-R1-Distill-Qwen-7B

Anthropic · released

Wins 2 of 2 areas

Coding · Reasoning

DeepSeek · released

Wins 0 of 2 areas

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Claude 3.5 Sonnet is the stronger all-rounder.DeepSeek-R1-Distill-Qwen-7B is cheaper.

Scores updated · 17 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.

Claude 3.5 Sonnet$3.00 to read · $15.00 to write$18Price from Artificial Analysis
DeepSeek-R1-Distill-Qwen-7B$0.15 to read · $0.15 to write$0.30Price from nscale

DeepSeek-R1-Distill-Qwen-7B costs 98% 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

  • Recent programming contest problemsLiveCodeBench v6+13.3points aheadClaude 3.5 Sonnet37.2DeepSeek-R1-Distill-Qwen-7B23.9
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+6.9points aheadClaude 3.5 Sonnet56DeepSeek-R1-Distill-Qwen-7B49.1

Where DeepSeek-R1-Distill-Qwen-7B pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 17 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingClaude 3.5 Sonnet

Full coding ranking

ReasoningClaude 3.5 Sonnet

Full reasoning ranking

Other results15 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 68.879.210.4+68.8
  • Codeforces (Rating)DeepSeek-R1-Distill-Qwen-7B by 472 rating points7171189+472 rating
  • AIME 2024DeepSeek-R1-Distill-Qwen-7B by 39.51655.5+39.5
  • MMLUClaude 3.5 Sonnet by 3888.750.7+38
  • AIME 2025DeepSeek-R1-Distill-Qwen-7B by 35.53.338.8+35.5
  • DROPClaude 3.5 Sonnet by 35.387.151.8+35.3
  • IFEvalClaude 3.5 Sonnet by 2686.560.5+26
  • MMLU-ProClaude 3.5 Sonnet by 24.177.653.5+24.1
  • SuperGPQAClaude 3.5 Sonnet by 19.348.228.9+19.3
  • GSM8KClaude 3.5 Sonnet by 17.996.478.5+17.9
  • MATH-500 (EM)DeepSeek-R1-Distill-Qwen-7B by 14.578.392.8+14.5
  • MATH500 (Pass@1)DeepSeek-R1-Distill-Qwen-7B by 14.578.392.8+14.5
  • HumanEvalClaude 3.5 Sonnet by 13.893.779.9+13.8
  • DROP (3-shot F1)Claude 3.5 Sonnet by 11.388.377+11.3
  • LiveCodeBenchDeepSeek-R1-Distill-Qwen-7B by 4.832.837.6+4.8

Questions people ask

Which is better, Claude 3.5 Sonnet or DeepSeek-R1-Distill-Qwen-7B?

Claude 3.5 Sonnet wins all two areas where both have results: coding and reasoning. DeepSeek-R1-Distill-Qwen-7B wins none, but costs 98% less.

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-Qwen-7B costs $0.15 and $0.15. That makes DeepSeek-R1-Distill-Qwen-7B about 98% cheaper for the same work.

How do you compare the two?

We use the 17 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 15 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.