GPT-5.6 Luna Pro pricing and routing profile
GPT-5.6 Luna Pro from OpenAI lists at $0.20 per million input tokens and $1.20 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) | $0.132 |
| Chat reply (2,000 in, 400 out) | $0.88 |
| Retrieval-augmented answer (8,000 in, 500 out) | $2.20 |
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-5.6 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-5.6 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 |
|---|---|---|
| Qwen3.6 Flash | $0.188 / $1.13 | 6% |
| Qwen3 Coder Flash | $0.195 / $0.975 | 11% |
| Qwen3 Next 80B A3B Thinking | $0.15 / $1.20 | 11% |
| Qwen3.6 35B A3B | $0.15 / $1.00 | 20% |
| Qwen3 Next 80B A3B Instruct | $0.10 / $1.10 | 27% |
| Llama 4 Maverick | $0.188 / $0.652 | 28% |
Questions
How much does GPT-5.6 Luna Pro cost?
GPT-5.6 Luna Pro lists at $0.20 per million input tokens and $1.20 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 $0.88 per 1,000 requests.
What is the context window of GPT-5.6 Luna Pro?
1,050,000 tokens.
Can a cheaper model replace GPT-5.6 Luna Pro?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GPT-5.6 Luna Pro on one half of your requests and make at most three answers worse on the other.