Tokenomy Data API
The Tokenomy Data API serves normalized pricing for 53+ AI models — input, output and cached price per 1M tokens, context window, throughput and latency — as JSON over HTTP, refreshed twice daily. A dated price-history endpoint returns one row per model per day so you can see exactly when a provider moved a price.
The system of record for AI model pricing — one normalized, versioned API across every major provider and open model host.
Last updated . Model pricing is refreshed twice daily.
Overview
The system of record for AI model pricing — one normalized, versioned API across every major provider and open model host.
- 470+ models, refreshed every 12 hours
- Normalized input, output and cached pricing
- Throughput, latency and context metadata
- Quality benchmarks joined to every model
About Tokenomy
Tokenomy is the economic runtime for AI — the system of record for AI model pricing, plus free tools, independent research and runtime rails that meter, enforce and attribute every model call.
Frequently asked questions
Is there an API for AI model pricing?
Yes. The Tokenomy Data API returns current list pricing and dated price history for 53+ models across OpenAI, Anthropic, Google, xAI, Meta, DeepSeek, Mistral, Qwen and open-weight hosts, with an OpenAPI 3.1 specification.
How often is the pricing data refreshed?
Twice daily, at 00:15 and 12:15 UTC. Every row carries the date it was observed; rows carried back before 1 August 2026 are flagged as such rather than presented as live observations.
How far back does the price history go?
The time series covers 30- and 90-day windows per model. Observations from 1 August 2026 onward are live; earlier points are reconstructed and labelled.