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OpenAI API

The GPT model family with vision, audio, and the broadest tool-calling ecosystem

What it is

OpenAI's API provides access to GPT-4o, o1, o3, and GPT-4o-mini — models that support text, vision, audio, and structured outputs. The platform includes the Assistants API for stateful agent runs, a built-in file storage layer, and native function calling that underpins most orchestration frameworks.

Best for

Agents that need multimodal inputs (images, audio), structured JSON output via constrained generation, or tight integration with the OpenAI ecosystem (Assistants API, batch processing).

Who it's for

Builders across all skill levels. Strong default choice due to framework support. Costs are usage-based; GPT-4o-mini is economical for high-throughput agents.

Blueprint Note

Agent Architecture Fit

OpenAI models serve as the reasoning engine in your blueprint. The Assistants API offers a managed agent run loop with thread-based memory and built-in file retrieval, reducing the orchestration layer you need to build yourself. GPT-4o's vision capability enables blueprints that process screenshots, documents, or image inputs as part of their decision flow.

Alternatives
AlternativeWhen to choose instead
Anthropic Claude API

when you need extended context (200K tokens), superior instruction-following, or safer outputs in sensitive domains

Groq

when token-per-second throughput matters more than frontier capability

Used in these blueprints
research agentvision agentdocument analyst agent

Next step

Your agent starts with a blueprint.

A blueprint tells you which tools to use, where they fit, and how they connect — before you write a line of code.

Build yours free →