bots.st/ai-rate-card
AI Rate Card
Find and compare current AI model pricing
2729 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 16
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://airatecard.com/mcp
What it can do
| Tool | What it says it does |
|---|---|
cache_batch_savings | What prompt caching and batch / flex save on one model: monthly input and output tokens priced at every listed seller plain, with the given share of input read from the cache (the seller's own cache-read price) and, if can_wait, the seller's batch / flex offers. USD, cheapest first; cache write… |
cheapest_for_workload | The cheapest offers for a whole monthly workload, ranked by monthly cost in USD: give a preset (a typical job; see list_workload_presets) and/or your own tokens a month. Best offer of each model; free promos and batch/flex/priority/regional prices left out unless asked. Each row: monthly_cost_usd… |
cheapest_models_by_task | The n cheapest MODELS for a job (task): each model counted once at its own lowest current price (input tokens by default). One row per model with that price, where it is and card_url. |
cheapest_offers | The cheapest current offers (rows: one model at one provider) of one model type, by input price. For the cheapest MODELS of a job (one row per model) use cheapest_models_by_task; for a monthly workload use cheapest_for_workload. |
compare_models | 2 to 5 models side by side: the best current offer of each and, for up to 4, every field compared (lowest and median input/output price, context, max output, providers, regions, a 1M-in/200k-out workload cost), who wins by how many percent, providers selling all, and summary sentences. |
estimate_cost | The cost of a workload (input, output and cached input tokens, number of requests) at every current provider of one model, cheapest first, in USD - what the same job costs where. |
get_card | One card with its citation. card_id is '<kind>:<key>': offer:<provider>|<model id as the provider writes it> (e.g. offer:anthropic|claude-opus-4), model:<creator>/<model> (e.g. model:anthropic/claude-opus-4), seller:<provider key> (e.g. seller:anthropic). Ids come from search_offers (offer_id… |
get_model_prices | Every seller's current price of one model (an id, or a name to search for), cheapest input first. |
list_articles | AI Rate Card's articles on AI model prices (the cheapest models by task, price moves, costs), newest first, with their links - to quote or point a reader to. |
list_workload_presets | The ready-made workloads of cheapest_for_workload: name, what job it is, tokens a month, context needed, model type. |
media_cost | The cost of an images / video / voice job at every model that sells it by its own unit, the cheapest offer of each model, cheapest first, USD: kind image (quantity = images), video (seconds), tts (characters to speak), stt (minutes of audio to transcribe). Models priced per token are not in it… |
median_price_by_task | The typical (median) current price of a job (task) across models, and the n models closest to it - what a normal price for this job is. Same arguments as cheapest_models_by_task. |
models_by_class | Base models by class S/A/B/C/D in one direction (S best; today: reasoning), best score first: class (null = one source, score only), score 0-100, sources and each source's score (Arena, Epoch). A class needs two independent public sources. Method: https://airatecard.com/en/classes. Each row has… |
most_expensive_models_by_task | The n most expensive MODELS for a job (task): each model counted once at its own lowest current price, highest first - the top of the market. Same arguments as cheapest_models_by_task. |
search_offers | Search current AI model offers (one model at one provider = one offer) by words, model type and limits; priced offers first, doubtful prices after sane ones. Each row has offer_id, model_id, provider_id, prices in USD per 1M tokens (or per unit), card_url and a cite line. Next: get_card… |
validate_provider_files | For a provider (seller) joining the catalog: check a models.yaml before putting it online - the same check as the wizard and POST /v1/provider/validate. Give the file's text in `models` (YAML, or the same structure as JSON text); `domain` (the provider's site) makes the model_page checks exact… |
In its maker's words
Daily-checked AI model API prices from 120+ providers: search, compare, cheapest, cost estimates.
- Website
- airatecard.com/docs
- Publisher
- airatecard.com
- Listed from
- the official MCP Registry as
com.airatecard/ai-rate-card - Version
- 1.0.1, updated 4 Nov 2026
- Kinds of work
- Search and research, Finance and markets, AI models and agent tools
The domain it lives on
- airatecard.com
- registered 27 Sep 2026 (1 month ago), at Cloudflare, Inc., its name does not resolve now
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 2729 ms | |
| Answered | 2830 ms | |
| Answered | 1015 ms |
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