GPT-5.6 Luna
by OpenAIReleased Jul 9, 2026
openai/gpt-5.6-luna- Reads images
- Reads files and PDFs
- Calls tools
- Answers in a JSON schema
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
- Input / 1M tokens
- $0.24
- Output / 1M tokens
- $1.44
- Context
- 1.05M
- Longest answer
- 128K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.24 / 1M |
| Output tokens | $1.44 / 1M |
| Cached input, read | $0.024 / 1M |
| Cached input, written | $0.30 / 1M |
| Each web search | $0.01 |
| Prompts over 272,000 tokens | $0.48 in, $2.16 out |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0012
- calls per $20
- 17K
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsYes
- Hears audioNo
- Calls toolsYes
- Answers in a JSON schemaYes
- Reasons before it answersYes
- Searches the webYes
- Caches long promptsYes
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "openai/gpt-5.6-luna", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Files, Images, and Text
- Writes
- Text
- Context
- 1,050,000 tokens
- Longest answer
- 128,000 tokens
- Reasoning effort
- none to max
- Intelligence index
- 37.3 (#33 of 220 rated)
- Knowledge cutoff
- Feb 16, 2026
- Released
- Jul 9, 2026
- Moderation
- Screened
Request fields
The fields its providers accept, passed through as you send them.
- include_reasoning
- max_completion_tokens
- max_tokens
- reasoning
- reasoning_effort
- response_format
- seed
- structured_outputs
- tool_choice
- tools
- verbosity
Questions
How much does GPT-5.6 Luna cost?
$0.24 per million input tokens and $1.44 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0012.
How do I call GPT-5.6 Luna?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id openai/gpt-5.6-luna. The token's AI credit pays for each call.
How long a prompt can GPT-5.6 Luna take?
Up to 1,050,000 tokens of context, and up to 128,000 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
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