AI Pricing Hub AI model pricing monitor
Source-backed AI pricing

Compare AI APIpricing and model costsbefore the invoice arrives.

Track source-backed token prices, compare AI model costs, and estimate monthly spend across eight direct and marketplace providers.

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Cost calculator

Monthly AI API spend estimate

More options
Estimated monthly cost N/A
Cost / request N/A
Cached input share 30%
Find models
Model Cost / request Daily cost Monthly cost Breakdown Difference
Waiting for data

Cheapest matches

Same workload, ranked by cost

AI cost guide

Compare AI pricing with the numbers that affect real bills

Token pricing

Input, cached input, and output rates

AI invoices depend on token direction and cache use. Compare each rate per million tokens before choosing a model.

Workload estimates

Monthly AI API spend by usage

Change requests, input tokens, output tokens, and cache share to estimate what a production workload may cost.

Source freshness

Pricing links you can verify

Every row links back to the provider source and shows whether data was extracted, seeded, or needs review.

Open data

Readable by people and AI assistants

The pricing dataset is available as JSON, with sitemap, robots.txt, and llms.txt files for search and AI discovery.

Pricing guides

Popular AI API pricing comparisons

Source-backed pages for provider comparisons, cheapest-model searches, model-specific prices, workload benchmarks, and AI token cost questions.

Tool

AI Model Finder

Rank current AI models by use case, budget, monthly requests, context, provider, and pricing priority.

Benchmark

AI workload benchmarks

Compare model costs for chatbot, RAG, coding, support, document analysis, vision, and other production workloads.

Provider

OpenAI API pricing

Browse source-backed OpenAI API pricing and sample monthly costs.

AI pricing and market feed

Latest AI model pricing and market signals

News follows the selected site language and links to original publishers.

.ai domain watch

Daily available .ai domains for entrepreneurs

A daily GitHub Action checks founder-friendly .ai names with Cloudflare Registrar pricing, filters out premium and repeated names, and publishes the ten cheapest standard-price matches.

Waiting for daily scan

Availability and pricing can change quickly. Recheck the domain in your registrar before purchase.

Market intelligence

AI Market Intelligence Dashboard

Static market metrics from provider snapshots and pricing history.

Model changelog

Latest AI model changes

Automatically detected model, pricing, context, modality, provider, and status changes from provider snapshots.

Developer platform

Public API v1

Query providers, models, rankings, history, market metrics, and changelog events from generated JSON datasets.

Pricing table

AI model pricing catalog

Provider Model Input / 1M Cached / 1M Output / 1M Status Source

Source monitor

Pricing and news refresh health

AI pricing FAQ

Common questions about AI model pricing

What is AI Pricing Hub?

AI Pricing Hub is a free AI model pricing comparison site and token cost calculator for estimating AI API spend.

Which providers are tracked?

The catalog tracks OpenAI, Anthropic, Google Gemini, Cohere, DeepSeek, xAI, Groq, and clearly labeled OpenRouter marketplace offers.

How should I compare AI model costs?

Compare input, cached input, output, and expected monthly volume. Cheap input can still be expensive when output tokens dominate.

Can AI assistants use this site?

Yes. The public JSON data, sitemap, and llms.txt files are designed to make the pricing catalog easy for search engines and AI assistants to understand.

Public API

Build with AI Pricing Hub data

Use static JSON endpoints for providers, models, rankings, history, market metrics, and changelog events.

Newsletter

Get AI pricing changes in your inbox

Monthly pricing moves, new model launches, and practical cost notes. Opt in for launch and pricing updates.

Editorial information

Reviewed by AI Pricing Hub Editorial

Last updated

2026-08-04

Methodology

Methodology explains collection, validation, limitations, and update cadence.