Qwen3 30B A3B
Nothing here. The model returned empty. We stared at it for a while.
Qwen3 30B A3B vs Qwen: Qwen3 30B A3B Instruct 2507
Compare Qwen3 30B A3B and Qwen: Qwen3 30B A3B Instruct 2507, both from Qwen, context windows of 41K vs 131K, tested across 41 shared challenges. Updated April 2026.
Which is better, Qwen3 30B A3B or Qwen: Qwen3 30B A3B Instruct 2507?
Qwen3 30B A3B and Qwen: Qwen3 30B A3B Instruct 2507 are both competitive models. Qwen3 30B A3B costs $0/M input tokens vs $0.2/M for Qwen: Qwen3 30B A3B Instruct 2507. Context windows: 41K vs 131K tokens. Compare their real outputs side by side below.
Key Differences Between Qwen3 30B A3B and Qwen: Qwen3 30B A3B Instruct 2507
Qwen3 30B A3B is made by qwen while Qwen: Qwen3 30B A3B Instruct 2507 is from qwen. Qwen3 30B A3B has a 41K token context window compared to Qwen: Qwen3 30B A3B Instruct 2507's 131K. On pricing, Qwen3 30B A3B costs $0/M input tokens vs $0.2/M for Qwen: Qwen3 30B A3B Instruct 2507.
Our Verdict
Qwen: Qwen3 30B A3B Instruct 2507
Qwen3 30B A3BRunner-up
No community votes yet. On paper, Qwen: Qwen3 30B A3B Instruct 2507 has the edge — newer, bigger context window.
Too close to call
Writing DNA
Style Comparison
Similarity
90%
Qwen: Qwen3 30B A3B Instruct 2507 uses 91.9x more headings
Qwen3 30B A3B
Qwen: Qwen3 30B A3B Instruct 2507
60%Vocabulary55%
11wSentence Length18w
0.24Hedging0.52
7.6Bold6.7
4.6Lists4.3
0.36Emoji1.04
0.00Headings0.92
0.06Transitions0.11
Based on 4 + 22 text responses
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279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
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