AI API Pricing Dataset

This dataset provides AI API model pricing data for cost estimation, LLM budget planning, and model price comparison.

Maintained, curated, machine-readable pricing data for major LLM and AI APIs. Prices change frequently, so production budget decisions should always be checked against the relevant provider pricing pages.

AI API Cost Calculator | Model Pricing Comparison | AI Budget Planner | Download JSON | Download CSV

This repository publishes a versioned dataset and read-only static API for AI API pricing. It is designed for developers, SaaS builders, FinOps teams, researchers, technical writers, and AI systems that need maintained pricing records instead of ad hoc scraped snippets.

This project is maintained as an independent public dataset by AICostBudget. See aicostbudget.com.

Why this dataset?

• Source-linked pricing records
• Unknown or unverified values remain null, never 0
• Versioned JSON and CSV outputs
• Per-model history files
• Dated full snapshots
• Read-only static API
• Suitable for calculators, dashboards, cost analysis, and AI FinOps tooling

The weekly freshness workflow checks source URLs and stale last_verified_at values. It does not guess, infer, or overwrite prices automatically.

Website Tools

AI API Cost Calculator

Estimate token usage and monthly AI API costs.

Model Pricing Comparison

Compare model pricing across providers.

AI Budget Planner

Plan AI feature budgets for products and SaaS applications.

Quick Start

Latest JSON

curl -L https://aicostbudget.github.io/ai-api-pricing-data/api/v1/prices.json

Latest CSV

curl -L https://aicostbudget.github.io/ai-api-pricing-data/api/v1/prices.csv

Single model record

curl -L https://aicostbudget.github.io/ai-api-pricing-data/api/v1/models/openai/gpt-4.1.json

Python

import json
import urllib.request

url = "https://aicostbudget.github.io/ai-api-pricing-data/api/v1/models/openai/gpt-4.1.json"
with urllib.request.urlopen(url) as response:
    model = json.load(response)

print(model["provider_id"], model["model_id"], model["pricing"]["input"])

JavaScript

const url = "https://aicostbudget.github.io/ai-api-pricing-data/api/v1/models/openai/gpt-4.1.json";

async function main() {
  const response = await fetch(url);
  const model = await response.json();

  console.log(model.provider_id, model.model_id, model.pricing.input);
}

main();

Use Cases

• Compare AI model prices
• Estimate monthly AI API cost
• Build LLM cost dashboards
• Plan SaaS AI feature budgets
• Track model pricing changes

Explore Pricing by Provider

Provider	Pricing page
OpenAI	OpenAI API pricing
Anthropic	Anthropic API pricing
Google Gemini	Google Gemini API pricing
xAI	xAI API pricing
DeepSeek	DeepSeek API pricing
Mistral AI	Mistral AI API pricing
Cohere	Cohere API pricing

Coverage

• OpenAI
• Anthropic Claude
• Google Gemini
• DeepSeek
• xAI Grok
• Mistral AI
• Cohere

Fields

The CSV output uses the following fields:

Field	Meaning
provider_id	Stable provider identifier.
model_id	Stable model identifier within the provider.
display_name	Human-readable model name.
model_family	Model family or grouping when available.
status	Model availability or lifecycle status.
currency	Pricing currency.
unit	Pricing unit, such as per-token or per-million-token billing units.
input	Input token price for the listed unit.
output	Output token price for the listed unit.
cached_input	Cached input token price when available.
cache_write	Cache write price when available.
batch_input	Batch input token price when available.
batch_output	Batch output token price when available.
official_source_url	Provider page or document URL used for source checking.
accessed_at	Date when the source was accessed.
last_verified_at	Date when the record was last verified.
effective_from	Date when the listed pricing became effective, if known.
notes	Additional context or caveats for the record.

Data Freshness

Every model record includes:

• official_source_url
• accessed_at
• last_verified_at
• effective_from
• notes

Freshness checks are designed to surface stale source checks. Final billing decisions should still be verified against the provider's official pricing page, contract, and invoice.

API Reference

The static API is published through GitHub Pages:

• /api/v1/prices.json
• /api/v1/prices.csv
• /api/v1/meta.json
• /api/v1/providers/<provider>.json
• /api/v1/models/<provider>/<model>.json

Unknown or unverified prices are represented as null, never 0.

The CSV output includes normalized pricing fields for provider, model, pricing unit, source URL, verification dates, and notes.

Historical Pricing

Per-model history files are stored under:

data/history/<provider>/<model>.jsonl

Dated full snapshots are stored under:

data/snapshots/<YYYY-MM-DD>/prices.json
data/snapshots/<YYYY-MM-DD>/prices.csv

Price Change Events

Canonical price change events are stored in:

data/price-change-events/events.jsonl

A price change event is different from a normal history verification row. History rows record source verification state for a model and may change when last_verified_at, official_source_url, or notes change. Price change events record only verified pricing semantics: input price, cached input price, output price, unit, and currency changes between two trusted snapshots.

Baseline snapshots are not price changes. New snapshots, reordered files, source URL edits, status changes, or repeated verification dates must not create price change events when the prices are unchanged.

Date fields use separate meanings:

• effective_from: provider-announced effective date only. It stays null when the provider did not publish one.
• detected_at: the first snapshot date where the repository observed the change by comparing trusted snapshots.
• verified_at: the date the new price was checked against an official provider source.
• date_basis: one of provider_announced, official_changelog, first_observed, or unknown.

Preview events without writing:

python scripts\generate_price_change_events.py --before data\snapshots\2026-07-09\prices.json --after data\snapshots\2026-07-27\prices.json --dry-run

Generate the canonical JSONL projection:

python scripts\generate_price_change_events.py --before data\snapshots\2026-07-09\prices.json --after data\snapshots\2026-07-27\prices.json

The generator matches models by provider_id + model_id, compares only pricing semantics, writes stable sorted output, and merges by dedupe_key. The first version emits price_update, cached_price_added, and cached_price_removed; it does not emit pricing_added or pricing_removed because a model first appearing in a snapshot may be coverage expansion rather than an official pricing launch. The dedupe key is based on provider, model, old prices, new prices, unit, currency, and change type. It excludes verified_at, announcement_url, and notes so later metadata backfills update the same event instead of creating a duplicate.

Manual backfills should edit the existing event with the same dedupe_key. Add effective_from only when an official provider announcement, official changelog, or pricing page explicitly gives the effective date. Add announcement_url only for an official URL; do not invent one.

Current canonical event count is 2:

• Mistral AI mistral-large: price_update
• xAI grok-4.3: cached_price_added

The current data is not ready for a public Pricing History page. Suggested readiness gates are at least 5 real price changes, at least 3 providers covered, official source for every event, detected_at and verified_at for every event, explicit marking of unknown effective dates, and no inferred old prices.

Methodology

Prices are accepted only from official provider pricing pages, official documentation, official APIs, or official announcements. Third-party calculators, SEO pages, Reddit posts, and competitor aggregators are not used as final price sources.

See METHODOLOGY.md.

Citation

Use the citation metadata in CITATION.cff, or cite:

AICostBudget. AICostBudget AI API Pricing Dataset. https://github.com/aicostbudget/ai-api-pricing-data

Contributing

Contributions are welcome when they include official sources and preserve null for unknown values. See CONTRIBUTING.md.

License

Code is licensed under MIT in LICENSE-CODE. Data is licensed under Creative Commons Attribution 4.0 in LICENSE-DATA.

Disclaimer

AI API prices change frequently. Always verify official provider pricing pages before making production budget decisions.

This dataset is informational and may lag provider pricing changes. Provider names and trademarks belong to their respective owners. This project is not affiliated with, endorsed by, or sponsored by any listed provider.