vs
OpenAI vs Perplexity API
Comparing two ai & llm apis platforms on pricing, features, free tier, and trade-offs.
Quick summary
OpenAI — The company behind ChatGPT, GPT-4o, and o1. OpenAI provides the most widely used LLM API with GPT-4o, GPT-4o mini, o1 reasoning models, embeddings, DALL-E image generation, Whisper speech-to-text, and Assistants API.
Perplexity API — LLM with live web search built in. Perplexity API (Sonar) gives LLM answers grounded in real-time web search results, with citations. Great for up-to-date answers and research use cases.
Feature comparison
| Feature | OpenAI | Perplexity API |
|---|---|---|
| Pricing model | Paid | Paid |
| Starting price | Pay per token | Pay per token |
| Free tier | No | No |
| Open source | No | No |
| Vision | Yes | No |
| Streaming | Yes | Yes |
| Embeddings | Yes | No |
| Max Output | 16K | 4K |
| Fine-tuning | Yes | No |
| Context Window | 128K | 200K |
| Flagship Model | GPT-4o | Sonar Large |
| Reasoning Model | o1 | Sonar Reasoning |
| Function Calling | Yes | No |
| EU Data Residency | Yes | No |
OpenAI
The company behind ChatGPT, GPT-4o, and o1
Pros
- Most capable general-purpose LLM
- Huge ecosystem and SDK support
- Battle-tested at scale
- Best function calling reliability
Cons
- Most expensive at scale
- No free tier
- Rate limits can bite
- Vendor lock-in risk
Perplexity API
LLM with live web search built in
Pros
- Built-in real-time web search
- Citations with every answer
- Always up-to-date information
- No need for your own scraper
Cons
- No vision / function calling
- More expensive than raw LLM APIs
- Less control over grounding data
Which should you choose?
Choose OpenAI if you need production-grade features and are ready to pay. Choose Perplexity API if you need production-grade features and are ready to pay.