OpenAIText modelGPT-5.6 Luna
GPT-5.6 Luna · OpenAI
Model availability and access depend on your workspace and plan.
About the model
GPT-5.6 Luna, explained.
GPT-5.6 Luna · OpenAI
Supported capabilities
- Chat
- Reasoning
- Writing
- Coding
- Vision
What you get back. The response appears directly in your Relam chat, where you can continue the conversation.
Capabilities & limits
Inside GPT-5.6 Luna.
Chat
Ask questions, give instructions and continue with follow-up messages in a conversation.
Writing
Work on written drafts, revisions and wording through conversational instructions.
Coding
Use the model for code-focused questions and programming tasks. Review generated code before using it.
Vision
The catalogue lists image understanding as a supported model capability. Available attachment controls depend on your workspace.
Context window
GPT-5.6 Luna has a 1,050,000-token context window. This is the model’s capacity for the text it considers in a request, including prompts and conversation context. Tokens are pieces of text, rather than a word or page count. The amount of context sent by your workspace can be lower.
Response length
The catalogue sets a maximum output of 128,000 tokens for GPT-5.6 Luna. This is the response budget, distinct from its context window. Responses can be shorter depending on your request and the limits applied by your workspace.
Questions & answers
More about GPT-5.6 Luna.
GPT-5.6 Luna · OpenAI
OpenAI is the vendor behind GPT-5.6 Luna, a text model available in the Relam catalogue.
Ask questions, give instructions and continue with follow-up messages in a conversation.
Work on written drafts, revisions and wording through conversational instructions.
Use the model for code-focused questions and programming tasks. Review generated code before using it.
The catalogue lists image understanding as a supported model capability. Available attachment controls depend on your workspace.
GPT-5.6 Luna has a 1,050,000-token context window. This is the model’s capacity for the text it considers in a request, including prompts and conversation context. Tokens are pieces of text, rather than a word or page count. The amount of context sent by your workspace can be lower.
The catalogue sets a maximum output of 128,000 tokens for GPT-5.6 Luna. This is the response budget, distinct from its context window. Responses can be shorter depending on your request and the limits applied by your workspace.
GPT-5.6 Luna is listed as a reasoning-capable model. Its configured reasoning levels are none, low, medium, high, xhigh, max. The default level is medium. Available controls depend on your workspace.
Open your Relam workspace and look for GPT-5.6 Luna in the text model selector. Available models, controls and access depend on your workspace and plan.