OpenAI vs Perplexity: Token Pricing, Speed & Intelligence
Full comparison of OpenAI and Perplexity — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
OpenAI
GPT-4o, o3, and the world's most widely-used AI API
OpenAI is the creator of the GPT model family and the ChatGPT product. Their API provides access to frontier models including GPT-4o, the o-series reasoning models, and the GPT-4.1 long-context family. Pricing is competitive for frontier-tier capability, with prompt caching available on most models.
Perplexity
Sonar — search-augmented LLMs with real-time web grounding
Perplexity's Sonar models are designed for search-augmented generation, combining LLM reasoning with real-time web retrieval. Unlike standard LLMs, Sonar responses include citations and are grounded in current web content. Ideal for research assistants, news summarisation, and fact-checking applications.
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Live token pricing
Strengths & weaknesses
OpenAI
Perplexity
Key differentiators
The most widely-integrated LLM API — virtually every AI framework and tool supports OpenAI natively.
Every Sonar response includes real-time web citations — the only LLM API purpose-built for grounded, verifiable answers.
Frequently asked questions
OpenAI FAQs
How much does the OpenAI API cost?
GPT-4o costs $2.50/1M input tokens and $10/1M output tokens. GPT-4o-mini is $0.15/$0.60 per 1M tokens. Prompt caching cuts input costs by 50% on eligible requests.
What is the difference between GPT-4o and o3?
GPT-4o is a fast, multimodal model optimised for chat, vision, and coding. o3 is a reasoning model that uses chain-of-thought to solve complex problems — it is slower and more expensive but significantly more capable on math, science, and hard coding tasks.
Does OpenAI support prompt caching?
Yes. Prompt caching is available on GPT-4o, GPT-4.1, o3, and o4-mini. Cached input tokens are billed at 50% of the standard input price, making long-context and repeated-system-prompt workloads significantly cheaper.
Perplexity FAQs
What is Perplexity Sonar?
Sonar is Perplexity's family of search-augmented LLMs. Unlike standard LLMs, Sonar automatically searches the web and includes citations in every response. Sonar is available in standard and Pro (deep research) variants.
How much does Perplexity API cost?
Perplexity charges per 1M tokens plus a per-request fee for search operations. Check their pricing page for current rates as they vary by model and search depth.
When should I use Perplexity instead of GPT-4o?
Use Perplexity when your application needs real-time, verifiable information with citations — research tools, news summarisation, fact-checking, or any use case where accuracy on current events matters. For creative tasks, coding, or reasoning without web grounding, GPT-4o or Claude are better choices.
Provider resources
OpenAI — GPT-4o, o3, and the world's most widely-used AI API
OpenAI is the creator of the GPT model family and the ChatGPT product. Their API provides access to frontier models including GPT-4o, the o-series reasoning models, and the GPT-4.1 long-context family. Pricing is competitive for frontier-tier capability, with prompt caching available on most models.
The most widely-integrated LLM API — virtually every AI framework and tool supports OpenAI natively.
Perplexity — Sonar — search-augmented LLMs with real-time web grounding
Perplexity's Sonar models are designed for search-augmented generation, combining LLM reasoning with real-time web retrieval. Unlike standard LLMs, Sonar responses include citations and are grounded in current web content. Ideal for research assistants, news summarisation, and fact-checking applications.
Every Sonar response includes real-time web citations — the only LLM API purpose-built for grounded, verifiable answers.
Key strengths compared
OpenAI
- ▸Largest ecosystem & third-party integrations
- ▸Best-in-class function calling & structured outputs
- ▸Prompt caching on all major models
Perplexity
- ▸Real-time web search with automatic citations
- ▸Sonar Pro for deep research with multi-step retrieval
- ▸Grounded responses reduce hallucination on factual queries
Provider category context
OpenAI is a frontier lab, founded in 2015. Perplexity is a inference api, founded in 2022. OpenAI as a frontier lab trains and serves its own proprietary models. Perplexity as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose OpenAI if you need largest ecosystem & third-party integrations. Choose Perplexity if you need real-time web search with automatic citations. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.