Home / Compare / GPT-6 Luna vs Qwen3.8 Max (0902)

GPT-6 Luna vs Qwen3.8 Max (0902)

For a typical chat reply (2,000 tokens in, 400 out), Qwen3.8 Max (0902) costs 16× as much as GPT-6 Luna: $6.40 against $0.40 per 1,000 requests at list price on 2026-09-28.

GPT-6 LunaQwen3.8 Max (0902)
Input, per 1M tokens$0.10$2.00
Output, per 1M tokens$0.50$6.00
Context window1.05M1M
Classification or routing (600 tokens in, 10 out), per 1,000$0.065$1.26
Chat reply (2,000 in, 400 out), per 1,000$0.40$6.40
Retrieval-augmented answer (8,000 in, 500 out), per 1,000$1.05$19.00
Confidence signalnoyes
Tool callingyesyes
BANKING77, correct of 400320not measured

Which one should carry your traffic?

If GPT-6 Luna answers your requests as well as Qwen3.8 Max (0902), moving that traffic saves 94% on chat-shaped requests. Averages cannot tell you whether it does for your requests. GPT-6 Luna does not expose a confidence signal through OpenRouter, so Gimbix would test it as a full replacement rather than a first answer.

GPT-6 Luna profile · Qwen3.8 Max (0902) profile · Measure it on your traffic