GPT-6 Luna Pro pricing and routing profile
GPT-6 Luna Pro from OpenAI lists at $0.10 per million input tokens and $0.50 per million output tokens, with a 1,050,000-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Tool callingStructured outputReasoning control
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $0.065 |
| Chat reply (2,000 in, 400 out) | $0.40 |
| Retrieval-augmented answer (8,000 in, 500 out) | $1.05 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Not as a first-answer model through OpenRouter: no host returns token log probabilities for GPT-6 Luna Pro. It can still be the model Gimbix falls back to when a cheaper model is unsure.
Cheaper models that can answer first
Models priced below GPT-6 Luna Pro that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| Ternary Bonsai 2 27B | $0.075 / $0.50 | 13% |
| Nemotron 3 Super | $0.08 / $0.45 | 15% |
| Gemma 3 27B | $0.08 / $0.45 | 15% |
| Gemma 4 31B | $0.09 / $0.34 | 21% |
| Qwen3 235B A22B Instruct 2507 | $0.0875 / $0.35 | 21% |
| Mistral Small 3.2 24B | $0.0938 / $0.25 | 28% |
Questions
How much does GPT-6 Luna Pro cost?
GPT-6 Luna Pro lists at $0.10 per million input tokens and $0.50 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.40 per 1,000 requests.
What is the context window of GPT-6 Luna Pro?
1,050,000 tokens.
Can a cheaper model replace GPT-6 Luna Pro?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GPT-6 Luna Pro on one half of your requests and make at most three answers worse on the other.