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GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.

Try in ewpireopenai/gpt-5.6-luna

Opens in the ewpire workspace. Creating an account is free; runs are paid from your credits.

GPT-5.6 Luna in plain words

GPT-5.6 Luna is a text model from OpenAI. It takes files, images, and text as input and returns text. Its context window is 1,050,000 tokens. It costs 0.248236 credits per 1M input tokens and 1.489412 credits per 1M output tokens. A request with 272,000 or more input tokens is charged, as a whole, at 0.496471 credits per 1M input tokens and 2.234118 credits per 1M output tokens.

It is good at reasoning through multi-step problems, reading attached files, and calling tools. It reads images as well as text. A context window of 1,050,000 tokens holds about 4,200,000 characters of English text, at 4 characters a token.

For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.001986 credits. The exact charge follows the usage the model reports for your request.

Details

Made by
OpenAI
Good at
ReasoningVisionFilesTool use
Reads
Files, Images, Text
Produces
Text
Context window
1,050,000 tokens

Price

Input, per 1M tokens
0.248236 credits
Output, per 1M tokens
1.489412 credits

Requests with 272,000 or more input tokens

Input, per 1M tokens
0.496471 credits
Output, per 1M tokens
2.234118 credits

The whole request is charged at these rates, not only the tokens past that size.

Charged per request from your credit balance. No subscription. See pricing

In the API – coming soon

API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs

curl https://ewpire.com/api/v1/chat/completions \
  -H "Authorization: Bearer $EWPIRE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-5.6-luna","messages":[{"role":"user","content":"Hello!"}]}'

The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs

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