OpenAIMultimodal modelGPT-4o mini
GPT-4o mini from OpenAI is their most advanced and cost-efficient small model. It is multi-modal (accepting text or image inputs and outputting text) and has higher intelligence than gpt-3.5-turbo but is just as fast.
Model availability and access depend on your workspace and plan.
About the model
GPT-4o mini, explained.
GPT-4o mini from OpenAI is their most advanced and cost-efficient small model. It is multi-modal (accepting text or image inputs and outputting text) and has higher intelligence than gpt-3.5-turbo but is just as fast.
Supported capabilities
- Chat
- File input
- Implicit caching
- Tool use
- Vision
- Web search
- Fast
What you get back. The response appears directly in your Relam chat, where you can continue the conversation.
Capabilities & limits
Inside GPT-4o mini.
Chat
Ask questions, give instructions and continue with follow-up messages in a conversation.
File input
GPT-4o mini lists file input among its supported capabilities.
Implicit caching
GPT-4o mini lists implicit caching among its supported capabilities.
Tool use
The model can work with tools as part of a response. Relam determines which tools are available for your request and enforces their permissions.
Vision
The catalogue lists image understanding as a supported model capability. Available attachment controls depend on your workspace.
Web search
GPT-4o mini lists web search among its supported capabilities.
Questions & answers
More about GPT-4o mini.
GPT-4o mini from OpenAI is their most advanced and cost-efficient small model. It is multi-modal (accepting text or image inputs and outputting text) and has higher intelligence than gpt-3.5-turbo but is just as fast.
OpenAI is the vendor behind GPT-4o mini, a multimodal model available in the Relam catalogue.
Ask questions, give instructions and continue with follow-up messages in a conversation.
GPT-4o mini lists file input among its supported capabilities.
GPT-4o mini lists implicit caching among its supported capabilities.
The model can work with tools as part of a response. Relam determines which tools are available for your request and enforces their permissions.
The catalogue lists image understanding as a supported model capability. Available attachment controls depend on your workspace.
GPT-4o mini lists web search among its supported capabilities.
GPT-4o mini lists fast among its supported capabilities.
GPT-4o mini has a 128,000-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 16,384 tokens for GPT-4o mini. 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-4o mini is not marked as reasoning-capable in the current catalogue.
Open your Relam workspace and look for GPT-4o mini in the multimodal model selector. Available models, controls and access depend on your workspace and plan.