Top Picks for API Development
OpenAI API
The most widely adopted API in this space, with mature documentation and the broadest ecosystem of SDKs and integrations.
View profile →Anthropic API (Claude)
Strong documentation and careful, well-supported tool-use and agentic features.
View profile →Google Gemini API
Competitive capability with strong integration into Google Cloud infrastructure for teams already there.
View profile →What to Evaluate Beyond the Underlying Model
Documentation quality and example coverage, SDK support for your specific programming language, rate limits and how they scale with your plan tier, and uptime and reliability track record all matter as much as raw model capability when choosing an API to build production infrastructure on.
Getting Started
See our AI SDKs page for guidance on choosing an SDK, and our specific API example pages for real, working code snippets across the major providers.
Related Pages
Frequently Asked
Which AI API has the best documentation?
OpenAI's documentation is widely regarded as mature and thorough given how long it's been in production use; Anthropic and Google's documentation have both improved significantly and are competitive.
Should I choose an API based purely on model benchmark scores?
No — documentation quality, SDK support, and reliability matter significantly for a production integration, beyond raw model capability alone.
Can I switch between providers easily later?
Some abstraction is possible with certain frameworks, but each API has provider-specific features and conventions that make a full switch require real engineering work, not just changing an API key.
Where can I see working code examples?
See our dedicated OpenAI, Claude, and Gemini API example pages for real, working code snippets.