Use case
GPT-6 Luna tool calling
tool calling notes for gpt-6-luna: the rate card, a worked volume, and when to send this ID. A sample of 1 million input tokens plus 200 thousand output tokens is about $0.440 on corouter (input $0.200, output $0.240).
Tool definitions count as input
Tool JSON schemas count toward input tokens. Input for gpt-6-luna is $0.200. More tools and longer schemas raise the input bill. The output rate does not change.
GPT-6 Luna keeps the 1.05M window and lists above GPT-6 Sol on output, without the Code tag. Send gpt-6-luna when you want that ID rather than gpt-6-sol or gpt-6.1-sol.
Set it next to a lower output rate
GPT-6 Luna (gpt-6-luna) lists at $2.00 input and $12.00 output per million tokens. corouter bills $0.200 input and $1.20 output. Context is 1.1M.
A sample of 1 million input tokens plus 200 thousand output tokens is about $0.440 on corouter (input $0.200, output $0.240).
Questions
- Which model ID should the request send?
- Send gpt-6-luna. Do not put a different name in the model field.
- What is the minimum top-up?
- Prepaid credits, $5 minimum top-up, no subscription tier.