Qwen3 30B A3B Thinking 2507 vs GPT-5

Compare Qwen3 30B A3B Thinking 2507 by Qwen against GPT-5 by OpenAI, context windows of 262K vs 400K, tested across 47 shared challenges. Updated April 2026.

Which is better, Qwen3 30B A3B Thinking 2507 or GPT-5?

Qwen3 30B A3B Thinking 2507 and GPT-5 are both competitive models. Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens vs $1.25/M for GPT-5. Context windows: 262K vs 400K tokens. Compare their real outputs side by side below.

Key Differences Between Qwen3 30B A3B Thinking 2507 and GPT-5

Qwen3 30B A3B Thinking 2507 is made by qwen while GPT-5 is from openai. Qwen3 30B A3B Thinking 2507 has a 262K token context window compared to GPT-5's 400K. On pricing, Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens vs $1.25/M for GPT-5.

Our Verdict
GPT-5
GPT-5
Qwen3 30B A3B Thinking 2507
Qwen3 30B A3B Thinking 2507Runner-up

No community votes yet. On paper, GPT-5 has the edge — bigger model tier, bigger context window, major provider backing.

Qwen3 30B A3B Thinking 2507 is 35x cheaper per token — worth considering if cost matters.

Slight edge
Writing DNA

Style Comparison

Similarity
99%

Qwen3 30B A3B Thinking 2507 uses 67.9x more emoji

Qwen3 30B A3B Thinking 2507
GPT-5
54%Vocabulary65%
14wSentence Length13w
0.12Hedging0.20
7.5Bold0.2
4.2Lists4.6
0.68Emoji0.00
0.93Headings0.16
0.12Transitions0.03
Based on 16 + 16 text responses
vs

Ask them anything yourself

Qwen3 30B A3B Thinking 2507GPT-5

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

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