Qwen: Qwen3 235B A22B Thinking 2507 vs GPT OSS 120B

Compare Qwen: Qwen3 235B A22B Thinking 2507 by Qwen against GPT OSS 120B by OpenAI, in 28 community votes, qwen: qwen3 235b a22b thinking 2507 wins 65% of head-to-head duels, context windows of 131K vs 131K, tested across 40 shared challenges. Updated April 2026.

Which is better, Qwen: Qwen3 235B A22B Thinking 2507 or GPT OSS 120B?

Qwen: Qwen3 235B A22B Thinking 2507 is the better choice overall, winning 65% of 28 blind community votes on Rival. Qwen: Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens vs $0.18/M for GPT OSS 120B. Context windows: 131K vs 131K tokens. Compare their real outputs side by side below.

Key Differences Between Qwen: Qwen3 235B A22B Thinking 2507 and GPT OSS 120B

Qwen: Qwen3 235B A22B Thinking 2507 is made by qwen while GPT OSS 120B is from openai. Qwen: Qwen3 235B A22B Thinking 2507 has a 131K token context window compared to GPT OSS 120B's 131K. On pricing, Qwen: Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens vs $0.18/M for GPT OSS 120B. In community voting, In 28 community votes, Qwen: Qwen3 235B A22B Thinking 2507 wins 65% of head-to-head duels.

In 28 community votes, Qwen: Qwen3 235B A22B Thinking 2507 wins 65% of head-to-head duels. Qwen: Qwen3 235B A22B Thinking 2507 leads in Web Design, Image Generation, while GPT OSS 120B leads in Reasoning. Based on blind community voting from the Rival open dataset of 28+ human preference judgments for this pair.

Web Design: Qwen: Qwen3 235B A22B Thinking 2507 wins 82% of votes
Image Generation: Qwen: Qwen3 235B A22B Thinking 2507 wins 67% of votes
Reasoning: GPT OSS 120B wins 80% of votes
Our Verdict
Qwen: Qwen3 235B A22B Thinking 2507
Qwen: Qwen3 235B A22B Thinking 2507Winner
GPT OSS 120B
GPT OSS 120BRunner-up

Pick Qwen: Qwen3 235B A22B Thinking 2507. In 28 blind votes, Qwen: Qwen3 235B A22B Thinking 2507 wins 65% of the time. That's not luck.

Pick Qwen: Qwen3 235B A22B Thinking 2507 for Web Design, Image Generation. Pick GPT OSS 120B for Reasoning.

Clear winner
Writing DNA

Style Comparison

Similarity
97%

Qwen: Qwen3 235B A22B Thinking 2507 uses 3.5x more emoji

Qwen: Qwen3 235B A22B Thinking 2507
GPT OSS 120B
56%Vocabulary52%
14wSentence Length19w
0.37Hedging0.28
5.7Bold7.4
4.0Lists1.8
0.54Emoji0.15
0.70Headings0.73
0.14Transitions0.17
Based on 22 + 21 text responses
vs

Ask them anything yourself

Qwen: Qwen3 235B A22B 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
Free preview13 of 58 slides
FAQ

Common questions