Compare GPT-4o (Omni) by OpenAI against Qwen Plus 0728 (thinking) by Qwen, context windows of 128K vs 1.0M, tested across 37 shared challenges. Updated May 2026.
GPT-4o (Omni) and Qwen Plus 0728 (thinking) are both competitive models. GPT-4o (Omni) costs $2.5/M input tokens vs $0.4/M for Qwen Plus 0728 (thinking). Context windows: 128K vs 1000K tokens. Compare their real outputs side by side below.
GPT-4o (Omni) is made by openai while Qwen Plus 0728 (thinking) is from qwen. GPT-4o (Omni) has a 128K token context window compared to Qwen Plus 0728 (thinking)'s 1000K. On pricing, GPT-4o (Omni) costs $2.5/M input tokens vs $0.4/M for Qwen Plus 0728 (thinking).
Qwen Plus 0728 (thinking) is cheaper on both — 6.3× input, 2.5× output
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Qwen Plus 0728 (thinking) uses 13.5x more emoji
Compare GPT-4o (Omni) by OpenAI against Qwen Plus 0728 (thinking) by Qwen, context windows of 128K vs 1.0M, tested across 37 shared challenges. Updated May 2026.
GPT-4o (Omni) and Qwen Plus 0728 (thinking) are both competitive models. GPT-4o (Omni) costs $2.5/M input tokens vs $0.4/M for Qwen Plus 0728 (thinking). Context windows: 128K vs 1000K tokens. Compare their real outputs side by side below.
GPT-4o (Omni) is made by openai while Qwen Plus 0728 (thinking) is from qwen. GPT-4o (Omni) has a 128K token context window compared to Qwen Plus 0728 (thinking)'s 1000K. On pricing, GPT-4o (Omni) costs $2.5/M input tokens vs $0.4/M for Qwen Plus 0728 (thinking).
Qwen Plus 0728 (thinking) is cheaper on both — 6.3× input, 2.5× output
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Qwen Plus 0728 (thinking) uses 13.5x more emoji