OpenAI API
GPT-4 and the most popular LLM API
OpenAI's API provides access to the most widely-used large language models including GPT-4, GPT-4 Turbo, and GPT-3.5 Turbo. The platform offers the broadest feature set in the LLM space: text generation, function calling for structured outputs, vision capabilities for image understanding, embeddings for semantic search, and fine-tuning for custom models. OpenAI also provides DALL-E for image generation and Whisper for speech-to-text. The ecosystem around OpenAI is massive, with extensive documentation, tutorials, and third-party integrations. While pricing can add up for high-volume applications, the reliability and capability of the models make it the default choice for many AI applications. The Assistants API enables building complex, stateful AI agents with built-in memory and tool use.
Our Verdict
OpenAI is the default choice for most AI applications. GPT-4 remains the most capable model, but alternatives are catching up.
Pros & Cons
Pros
- +Most capable models (GPT-4)
- +Largest ecosystem
- +Excellent documentation
- +First-mover advantage
Cons
- -Can be expensive at scale
- -Rate limits can be restrictive
- -Closed source
Build vs Buy with AI
Buy This ToolTraining frontier LLMs requires billions of dollars in compute, massive datasets, and years of research. You cannot build GPT-4. You can fine-tune open models or build applications on top of APIs.
Key Considerations
- •Training frontier models costs hundreds of millions
- •Fine-tuning open models is achievable for specific tasks
- •Running inference on open models requires GPU infrastructure
- •Most applications should just use the API
Features
Best For
Pricing
- - $5 free credits
- - GPT-3.5 access
- - Rate limited
- - GPT-4 access
- - Higher limits
- - Fine-tuning
- - Dedicated capacity
- - SLA
- - Support
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