GPT-4o (Omni) vs Qwen3 Next 80B A3B Thinking
Compare GPT-4o (Omni) by OpenAI against Qwen3 Next 80B A3B Thinking by Qwen, context windows of 128K vs 66K, tested across 53 shared challenges. Updated May 2026.
Which is better, GPT-4o (Omni) or Qwen3 Next 80B A3B Thinking?
GPT-4o (Omni) and Qwen3 Next 80B A3B Thinking are both competitive models. GPT-4o (Omni) costs $2.5/M input tokens vs $0.15/M for Qwen3 Next 80B A3B Thinking. Context windows: 128K vs 66K tokens. Compare their real outputs side by side below.
Key Differences Between GPT-4o (Omni) and Qwen3 Next 80B A3B Thinking
GPT-4o (Omni) is made by openai while Qwen3 Next 80B A3B Thinking is from qwen. GPT-4o (Omni) has a 128K token context window compared to Qwen3 Next 80B A3B Thinking's 66K. On pricing, GPT-4o (Omni) costs $2.5/M input tokens vs $0.15/M for Qwen3 Next 80B A3B Thinking.
Per 1M tokens
Qwen3 Next 80B A3B Thinking is cheaper on both — 17× input, 6.7× output
No community votes yet. On paper, GPT-4o (Omni) has the edge — bigger model tier, bigger context window, major provider backing.
Qwen3 Next 80B A3B Thinking is 6.7x cheaper per token — worth considering if cost matters.
Style Comparison
Qwen3 Next 80B A3B Thinking uses 23.0x more emoji
