GPT-4o (Omni)
Nothing here. The model returned empty. We stared at it for a while.
GPT-4o (Omni) vs Qwen3 Coder Next
Compare GPT-4o (Omni) by OpenAI against Qwen3 Coder Next by Qwen, context windows of 128K vs 262K, tested across 52 shared challenges. Updated April 2026.
Which is better, GPT-4o (Omni) or Qwen3 Coder Next?
GPT-4o (Omni) and Qwen3 Coder Next are both competitive models. GPT-4o (Omni) costs $2.5/M input tokens vs $0.2/M for Qwen3 Coder Next. Context windows: 128K vs 262K tokens. Compare their real outputs side by side below.
Key Differences Between GPT-4o (Omni) and Qwen3 Coder Next
GPT-4o (Omni) is made by openai while Qwen3 Coder Next is from qwen. GPT-4o (Omni) has a 128K token context window compared to Qwen3 Coder Next's 262K. On pricing, GPT-4o (Omni) costs $2.5/M input tokens vs $0.2/M for Qwen3 Coder Next.
Our Verdict
GPT-4o (Omni)
Qwen3 Coder Next
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Qwen3 Coder Next is 6.7x cheaper per token — worth considering if cost matters.
Too close to call
Writing DNA
Style Comparison
Similarity
100%
Qwen3 Coder Next uses 34.2x more emoji
GPT-4o (Omni)
Qwen3 Coder Next
54%Vocabulary58%
18wSentence Length19w
0.72Hedging0.29
7.3Bold6.3
5.6Lists4.0
0.03Emoji0.86
1.40Headings0.92
0.26Transitions0.07
Based on 24 + 21 text responses
vsAsk them anything yourself
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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