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Qwen3 30B A3B Thinking 2507 vs GPT OSS 120B

Compare Qwen3 30B A3B Thinking 2507 by Qwen against GPT OSS 120B by OpenAI, in 20 community votes, qwen3 30b a3b thinking 2507 wins 71% of head-to-head duels, context windows of 262K vs 131K, tested across 49 shared challenges. Updated April 2026.

Which is better, Qwen3 30B A3B Thinking 2507 or GPT OSS 120B?

Qwen3 30B A3B Thinking 2507 is the better choice overall, winning 71% of 20 blind community votes on Rival. Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens vs $0.18/M for GPT OSS 120B. 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 120B

Qwen3 30B A3B Thinking 2507 is made by qwen while GPT OSS 120B is from openai. Qwen3 30B A3B Thinking 2507 has a 262K token context window compared to GPT OSS 120B's 131K. On pricing, Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens vs $0.18/M for GPT OSS 120B. In community voting, In 20 community votes, Qwen3 30B A3B Thinking 2507 wins 71% of head-to-head duels.

In 20 community votes, Qwen3 30B A3B Thinking 2507 wins 71% of head-to-head duels. Qwen3 30B A3B Thinking 2507 leads in Web Design, Image Generation, Reasoning. Based on blind community voting from the Rival open dataset of 20+ human preference judgments for this pair.

Web Design: Qwen3 30B A3B Thinking 2507 wins 70% of votes
Image Generation: Qwen3 30B A3B Thinking 2507 wins 75% of votes
Reasoning: Qwen3 30B A3B Thinking 2507 wins 67% of votes
Our Verdict
Qwen3 30B A3B Thinking 2507
Qwen3 30B A3B Thinking 2507Winner
GPT OSS 120B
GPT OSS 120BRunner-up

Pick Qwen3 30B A3B Thinking 2507. In 20 blind votes, Qwen3 30B A3B Thinking 2507 wins 71% of the time. That's not luck.

Qwen3 30B A3B Thinking 2507 particularly excels in Image Generation, Web Design, Reasoning.

Clear winner
Writing DNA

Style Comparison

Similarity
100%

Qwen3 30B A3B Thinking 2507 uses 4.4x more emoji

Qwen3 30B A3B Thinking 2507
GPT OSS 120B
54%Vocabulary52%
14wSentence Length19w
0.12Hedging0.28
7.5Bold7.4
4.2Lists1.8
0.68Emoji0.15
0.93Headings0.73
0.12Transitions0.17
Based on 16 + 21 text responses
vs

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Qwen3 30B A3B Thinking 2507GPT OSS 120B

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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