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Qwen3 30B A3B Thinking 2507 vs GPT OSS 20B

Compare Qwen3 30B A3B Thinking 2507 by Qwen against GPT OSS 20B by OpenAI, in 15 community votes, qwen3 30b a3b thinking 2507 wins 67% of head-to-head duels, context windows of 262K vs 131K, tested across 54 shared challenges. Updated April 2026.

Which is better, Qwen3 30B A3B Thinking 2507 or GPT OSS 20B?

Qwen3 30B A3B Thinking 2507 is the better choice overall, winning 67% of 15 blind community votes on Rival. Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens vs $0.02/M for GPT OSS 20B. Context windows: 262K vs 131K tokens. Compare their real outputs side by side below.

Key Differences Between Qwen3 30B A3B Thinking 2507 and GPT OSS 20B

Qwen3 30B A3B Thinking 2507 is made by qwen while GPT OSS 20B is from openai. Qwen3 30B A3B Thinking 2507 has a 262K token context window compared to GPT OSS 20B's 131K. On pricing, Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens vs $0.02/M for GPT OSS 20B. In community voting, In 15 community votes, Qwen3 30B A3B Thinking 2507 wins 67% of head-to-head duels.

In 15 community votes, Qwen3 30B A3B Thinking 2507 wins 67% of head-to-head duels. Qwen3 30B A3B Thinking 2507 leads in Web Design, while GPT OSS 20B leads in Reasoning. Based on blind community voting from the Rival open dataset of 15+ human preference judgments for this pair.

Web Design: Qwen3 30B A3B Thinking 2507 wins 83% of votes
Reasoning: GPT OSS 20B wins 60% of votes
Our Verdict
Qwen3 30B A3B Thinking 2507
Qwen3 30B A3B Thinking 2507Winner
GPT OSS 20B
GPT OSS 20BRunner-up

Pick Qwen3 30B A3B Thinking 2507. In 15 blind votes, Qwen3 30B A3B Thinking 2507 wins 67% of the time. That's not luck.

Pick Qwen3 30B A3B Thinking 2507 for Web Design. Pick GPT OSS 20B for Reasoning.

Clear winner
Writing DNA

Style Comparison

Similarity
98%

Qwen3 30B A3B Thinking 2507 uses 6.7x more emoji

Qwen3 30B A3B Thinking 2507
GPT OSS 20B
54%Vocabulary54%
14wSentence Length17w
0.12Hedging0.26
7.5Bold5.9
4.2Lists3.3
0.68Emoji0.10
0.93Headings0.75
0.12Transitions0.32
Based on 16 + 21 text responses
vs

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Qwen3 30B A3B Thinking 2507GPT OSS 20B

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
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