Claude Sonnet 4 vs Qwen3 Coder

Compare Claude Sonnet 4 by Anthropic against Qwen3 Coder by Qwen, in 71 community votes, claude sonnet 4 wins 61% of head-to-head duels, tested across 24 shared challenges. Updated April 2026.

Which is better, Claude Sonnet 4 or Qwen3 Coder?

Claude Sonnet 4 is the better choice overall, winning 61% of 71 blind community votes on Rival. Claude Sonnet 4 costs $3/M input tokens vs $0.22/M for Qwen3 Coder. Compare their real outputs side by side below.

Key Differences Between Claude Sonnet 4 and Qwen3 Coder

Claude Sonnet 4 is made by anthropic while Qwen3 Coder is from qwen. On pricing, Claude Sonnet 4 costs $3/M input tokens vs $0.22/M for Qwen3 Coder. In community voting, In 71 community votes, Claude Sonnet 4 wins 61% of head-to-head duels.

In 71 community votes, Claude Sonnet 4 wins 61% of head-to-head duels. Claude Sonnet 4 leads in Image Generation, Web Design, Conversation, while Qwen3 Coder leads in Reasoning, Analysis. Based on blind community voting from the Rival open dataset of 71+ human preference judgments for this pair.

Image Generation: Claude Sonnet 4 wins 65% of votes
Web Design: Claude Sonnet 4 wins 77% of votes
Reasoning: Qwen3 Coder wins 67% of votes
Conversation: Claude Sonnet 4 wins 75% of votes
Analysis: Qwen3 Coder wins 100% of votes
Our Verdict
Claude Sonnet 4
Claude Sonnet 4Winner
Qwen3 Coder
Qwen3 CoderRunner-up

Pick Claude Sonnet 4. In 71 blind votes, Claude Sonnet 4 wins 61% of the time. That's not luck.

Pick Claude Sonnet 4 for Web Design, Conversation, Image Generation. Pick Qwen3 Coder for Analysis, Reasoning. Qwen3 Coder is 16x cheaper per token — worth considering if cost matters.

Clear winner
Writing DNA

Style Comparison

Similarity
100%

Claude Sonnet 4 uses 7.6x more emoji

Claude Sonnet 4
Qwen3 Coder
62%Vocabulary61%
111wSentence Length72w
0.40Hedging0.61
5.0Bold4.7
9.3Lists5.6
0.88Emoji0.12
2.16Headings1.43
0.33Transitions0.20
Based on 17 + 22 text responses
vs

Ask them anything yourself

Claude Sonnet 4Qwen3 Coder

279 AI models invented the same fake scientist.

We read every word. 250 models. 2.14 million words. This is what we found.

AI Hallucination Index 2026
Free preview13 of 58 slides
FAQ

Common questions