Daily-checked AI model API prices from 120+ providers: search, compare, cheapest, cost estimates.
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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; for a monthly workload use cheapest_for_workload.
rows, 10 by default
model type, llm (text models) by default
Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.
Run in a terminal
claude mcp add --transport http ai-rate-card https://airatecard.com/mcp
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; for a monthly workload use cheapest_for_workload.
| Argument | Type | Description |
|---|---|---|
| limit | integer | rows, 10 by default |
| category | string | model type, llm (text models) by default |
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"maximum": 20,
"minimum": 1,
"description": "rows, 10 by default"
},
"category": {
"enum": [
"llm",
"embedding",
"rerank",
"moderation",
"ocr",
"search",
"image_generation",
"image_editing",
"video_generation",
"text_to_speech",
"speech_to_text",
"speech_to_speech",
"audio_generation",
"3d_generation"
],
"type": "string",
"description": "model type, llm (text models) by default"
}
},
"additionalProperties": false
}The cheapest offers for a whole monthly workload, ranked by monthly cost in USD: give a preset (a typical job; see 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, prices, context, checked_at, card_url and a ready cite line.
| Argument | Type | Description |
|---|---|---|
| limit | integer | rows, 10 by default |
| query | string | only models or providers matching these words, e.g. claude |
| tools | boolean | the model must support tool/function calling |
| preset | string | chatbot | coding_agent | rag | summarization | long_context | vision | embedding_index | trial - fills tokens, min_context, category; your own values win |
| category | string | model type, llm by default |
| min_context | integer | context window needed, tokens, e.g. 128000 |
| include_free | boolean | also free / promo offers (default false) |
| input_tokens | integer | input tokens a month, e.g. 10000000 |
| one_per_model | boolean | only the best offer of each model (default true) |
| output_tokens | integer | output tokens a month, e.g. 2000000 |
| input_modality | string | the model must accept this input, e.g. image |
| include_special | boolean | also batch, flex, priority, regional prices (default false) |
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.
| Argument | Type | Description |
|---|---|---|
| n | integer | 10 by default |
| task* | string | what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type) |
| scope | string | all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086) |
| component | string | input_tokens (default), output_tokens, or the task's own unit |
{
"type": "object",
"required": [
"task"
],
"properties": {
"n": {
"type": "integer",
"maximum": 10,
"minimum": 1,
"description": "10 by default"
},
"task": {
"enum": [
"embedding",
"image",
"moderation",
"rerank",
"stt",
"text",
"tts",
"video",
"vision"
],
"type": "string",
"description": "what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type)"
},
"scope": {
"enum": [
"all",
"specialized",
"universal",
"multi"
],
"type": "string",
"description": "all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086)"
},
"component": {
"type": "string",
"description": "input_tokens (default), output_tokens, or the task's own unit"
}
},
"additionalProperties": false
}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.
| Argument | Type | Description |
|---|---|---|
| models* | array | model ids (e.g. openai/gpt-4o-mini, as model_id in search_offers rows) or names to search for |
{
"type": "object",
"required": [
"models"
],
"properties": {
"models": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 5,
"minItems": 2,
"description": "model ids (e.g. openai/gpt-4o-mini, as model_id in search_offers rows) or names to search for"
}
},
"additionalProperties": false
}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.
| Argument | Type | Description |
|---|---|---|
| n | integer | 10 by default |
| task* | string | what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type) |
| scope | string | all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086) |
| component | string | input_tokens (default), output_tokens, or the task's own unit |
{
"type": "object",
"required": [
"task"
],
"properties": {
"n": {
"type": "integer",
"maximum": 10,
"minimum": 1,
"description": "10 by default"
},
"task": {
"enum": [
"embedding",
"image",
"moderation",
"rerank",
"stt",
"text",
"tts",
"video",
"vision"
],
"type": "string",
"description": "what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type)"
},
"scope": {
"enum": [
"all",
"specialized",
"universal",
"multi"
],
"type": "string",
"description": "all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086)"
},
"component": {
"type": "string",
"description": "input_tokens (default), output_tokens, or the task's own unit"
}
},
"additionalProperties": false
}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.
| Argument | Type | Description |
|---|---|---|
| model* | string | model id or a name to search for |
| requests | integer | number of calls (for per-request prices) |
| input_tokens | integer | input tokens of the whole job, e.g. 1000000 |
| output_tokens | integer | output tokens of the whole job, e.g. 200000 |
| cached_input_tokens | integer | of the input, tokens read from the prompt cache |
{
"type": "object",
"required": [
"model"
],
"properties": {
"model": {
"type": "string",
"description": "model id or a name to search for"
},
"requests": {
"type": "integer",
"minimum": 1,
"description": "number of calls (for per-request prices)"
},
"input_tokens": {
"type": "integer",
"minimum": 0,
"description": "input tokens of the whole job, e.g. 1000000"
},
"output_tokens": {
"type": "integer",
"minimum": 0,
"description": "output tokens of the whole job, e.g. 200000"
},
"cached_input_tokens": {
"type": "integer",
"minimum": 0,
"description": "of the input, tokens read from the prompt cache"
}
},
"additionalProperties": false
}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, model_id, provider_id) and from the card_url of every result. Works for every seller, a hidden test seller too.
| Argument | Type | Description |
|---|---|---|
| card_id* | string | offer:<provider>|<model>, model:<creator>/<model> or seller:<key> |
{
"type": "object",
"required": [
"card_id"
],
"properties": {
"card_id": {
"type": "string",
"description": "offer:<provider>|<model>, model:<creator>/<model> or seller:<key>"
}
},
"additionalProperties": false
}Every seller's current price of one model (an id, or a name to search for), cheapest input first.
| Argument | Type | Description |
|---|---|---|
| model* | string | model id or a name to search for |
{
"type": "object",
"required": [
"model"
],
"properties": {
"model": {
"type": "string",
"description": "model id or a name to search for"
}
},
"additionalProperties": false
}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.
| Argument | Type | Description |
|---|---|---|
| lang | string | language of the articles, en by default |
{
"type": "object",
"properties": {
"lang": {
"enum": [
"en",
"de",
"fr",
"es",
"pt",
"ru"
],
"type": "string",
"description": "language of the articles, en by default"
}
},
"additionalProperties": false
}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.
| Argument | Type | Description |
|---|---|---|
| n | integer | 10 by default |
| task* | string | what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type) |
| scope | string | all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086) |
| component | string | input_tokens (default), output_tokens, or the task's own unit |
{
"type": "object",
"required": [
"task"
],
"properties": {
"n": {
"type": "integer",
"maximum": 10,
"minimum": 1,
"description": "10 by default"
},
"task": {
"enum": [
"embedding",
"image",
"moderation",
"rerank",
"stt",
"text",
"tts",
"video",
"vision"
],
"type": "string",
"description": "what the buyer wants done: text (chat/LLM), vision, image, video, tts (speech from text), stt (text from speech), embedding, rerank, moderation - a job, not a model type (search_offers' category is the model type)"
},
"scope": {
"enum": [
"all",
"specialized",
"universal",
"multi"
],
"type": "string",
"description": "all (default), specialized (the task's own category) or multi/universal (qualifying llm models - the two names mean the same set, WP-0086)"
},
"component": {
"type": "string",
"description": "input_tokens (default), output_tokens, or the task's own unit"
}
},
"additionalProperties": false
}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 {"card_id": "offer:<offer_id>"} for one offer, get_model_prices for one model everywhere, estimate_cost / cheapest_for_workload for a cost.
| Argument | Type | Description |
|---|---|---|
| sort | string | order, price_input (cheapest input first) by default |
| limit | integer | rows, 20 by default |
| multi | boolean | also (or only, with no category) the multimodal offers that qualify (WP-0086) |
| query | string | words of the model, seller or display name |
| category | string | model type: llm (text models), embedding, image_generation, text_to_speech ...; none = every type |
| free_only | boolean | only offers that cost nothing (default false) |
| min_context | integer | context window in tokens, at least |
| input_modality | string |
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. Returns ok, the problems (file, line, model, path, value, code, message, hint - fix each and call again), the catalog's preview of the models and next_action. Call it before provider_publish; no account needed. Templates: /static/templates/models.min.yaml (required fields only) and models.yaml (every field with hints).
| Argument | Type | Description |
|---|---|---|
| name | string | the provider's name |
| domain | string | the provider's domain, e.g. example.ai |
| models* | string | the models.yaml text |
{
"type": "object",
"required": [
"models"
],
"properties": {
"name": {
"type": "string",
"description": "the provider's name"
},
"domain": {
"type": "string",
"description": "the provider's domain, e.g. example.ai"
},
"models": {
"type": "string",
"description": "the models.yaml text"
}
},
"additionalProperties": false
}The ready-made workloads of cheapest_for_workload: name, what job it is, tokens a month, context needed, model type.
No arguments.
{
"type": "object",
"properties": {},
"additionalProperties": false
}We read every tool's name, description and inputs the way the model will, looking for instructions hidden from you. A clean result means no warning signs, not a guarantee. Scanned Nov 4, 2026.
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"maximum": 50,
"minimum": 1,
"description": "rows, 10 by default"
},
"query": {
"type": "string",
"description": "only models or providers matching these words, e.g. claude"
},
"tools": {
"type": "boolean",
"description": "the model must support tool/function calling"
},
"preset": {
"enum": [
"chatbot",
"coding_agent",
"rag",
"summarization",
"long_context",
"vision",
"embedding_index",
"trial"
],
"type": "string",
"description": "chatbot | coding_agent | rag | summarization | long_context | vision | embedding_index | trial - fills tokens, min_context, category; your own values win"
},
"category": {
"enum": [
"llm",
"embedding",
"rerank",
"moderation",
"ocr",
"search",
"image_generation",
"image_editing",
"video_generation",
"text_to_speech",
"speech_to_text",
"speech_to_speech",
"audio_generation",
"3d_generation"
],
"type": "string",
"description": "model type, llm by default"
},
"min_context": {
"type": "integer",
"minimum": 1,
"description": "context window needed, tokens, e.g. 128000"
},
"include_free": {
"type": "boolean",
"description": "also free / promo offers (default false)"
},
"input_tokens": {
"type": "integer",
"minimum": 0,
"description": "input tokens a month, e.g. 10000000"
},
"one_per_model": {
"type": "boolean",
"description": "only the best offer of each model (default true)"
},
"output_tokens": {
"type": "integer",
"minimum": 0,
"description": "output tokens a month, e.g. 2000000"
},
"input_modality": {
"type": "string",
"description": "the model must accept this input, e.g. image"
},
"include_special": {
"type": "boolean",
"description": "also batch, flex, priority, regional prices (default false)"
}
},
"additionalProperties": false
}| e.g. text, image, audio |
| max_input_price | number | USD per 1M input tokens, at most |
{
"type": "object",
"properties": {
"sort": {
"enum": [
"price_input",
"price_output",
"context",
"name",
"price_unit",
"variant",
"seller",
"subscription",
"max_output",
"accepts",
"checked",
"category",
"price_cache_read",
"price_cache_write",
"region",
"input_modalities",
"output_modalities",
"reasoning",
"quantization",
"params_total",
"params_active",
"features",
"api_endpoints",
"hf_model_id",
"expiration",
"status",
"price_status",
"max_input",
"capabilities",
"knowledge_cutoff",
"launched_at",
"data_policy",
"cost",
"votes"
],
"type": "string",
"description": "order, price_input (cheapest input first) by default"
},
"limit": {
"type": "integer",
"maximum": 50,
"minimum": 1,
"description": "rows, 20 by default"
},
"multi": {
"type": "boolean",
"description": "also (or only, with no category) the multimodal offers that qualify (WP-0086)"
},
"query": {
"type": "string",
"description": "words of the model, seller or display name"
},
"category": {
"enum": [
"llm",
"embedding",
"rerank",
"moderation",
"ocr",
"search",
"image_generation",
"image_editing",
"video_generation",
"text_to_speech",
"speech_to_text",
"speech_to_speech",
"audio_generation",
"3d_generation"
],
"type": "string",
"description": "model type: llm (text models), embedding, image_generation, text_to_speech ...; none = every type"
},
"free_only": {
"type": "boolean",
"description": "only offers that cost nothing (default false)"
},
"min_context": {
"type": "integer",
"description": "context window in tokens, at least"
},
"input_modality": {
"type": "string",
"description": "e.g. text, image, audio"
},
"max_input_price": {
"type": "number",
"description": "USD per 1M input tokens, at most"
}
},
"additionalProperties": false
}