Allocate
GPT-5.6 Luna
APIGPT-5.6 Luna is a language model from OpenAI with a 1M-token context window. Provider list price is $0.20 per million input tokens and $1.20 per million output; on Allocate you pay $0.21 and $1.28. It is a closed model served over API; the weights are not published.
Pricing
Prices checked 2026-07-21.
Price against its peers
Provider list prices per M tokens, GPT-5.6 Luna against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.20 + 350 × $1.20 = $660 a month. Billed on Allocate it is $706.20.
GPT-5.6 Luna is served over API. Route traffic to it by name, meter every token, and swap it out in one click when a better fit ships.
Example usage
Point a route at openai/gpt-5.6-luna and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "openai/gpt-5.6-luna", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does GPT-5.6 Luna cost per million tokens?
Provider list price is $0.20 per million input tokens and $1.20 per million output tokens. On Allocate you pay $0.21 in and $1.28 out.
What context window does GPT-5.6 Luna have?
1,000,000 tokens (1M). At roughly 0.75 words per token, that is about 750k words of English text per request.
What does cached input cost on GPT-5.6 Luna?
$0.02 per million tokens at list ($0.021 billed). Repeated prompt prefixes, such as a stable system prompt or tool definitions, bill at this rate instead of the full input price.
Can I fine-tune GPT-5.6 Luna?
No. GPT-5.6 Luna is a closed model served over API; the weights are not published. If you want a model you can train and own, start from an open-weights base in the catalog and fine-tune that.
How do I call GPT-5.6 Luna on Allocate?
Send openai/gpt-5.6-luna in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.