OpenAIText modelGPT-5 Nano
GPT-5 Nano via OpenAI.
Model availability and access depend on your workspace and plan.
GPT-5 NanoAbout the model
GPT-5 Nano, explained.
GPT-5 Nano via OpenAI.
Supported capabilities
- Chat
- Writing
- Analysis
- Coding
- Reasoning
- Vision
What you get back. The response appears directly in your Relam chat, where you can continue the conversation.
Capabilities & limits
Inside GPT-5 Nano.
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.
Analysis
Ask the model to examine supplied information and develop a written analysis.
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 Nano has a 400,000-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.
Questions & answers
More about GPT-5 Nano.
GPT-5 Nano via OpenAI.
OpenAI is the vendor behind GPT-5 Nano, 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.
Ask the model to examine supplied information and develop a written analysis.
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 Nano has a 400,000-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 Nano. 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 Nano is listed as a reasoning-capable model. Its configured reasoning levels are minimal, low, medium, high. The default level is medium. Available controls depend on your workspace.
Open your Relam workspace and look for GPT-5 Nano in the text model selector. Available models, controls and access depend on your workspace and plan.