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LLM API Pricing Lookup
x402
LLM API Pricing Lookup is a paid API for AI agents from fx-reference-rates.regnotes.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-30).
Returns USD pricing per 1M input, output, and cached-input tokens plus context window size for ~3,300 LLM models across providers like OpenAI, Anthropic, Google, Azure, Bedrock, and more.
Price / call$0.005
Success—
StatusUnknown
How this service works
LLM API pricing lookup: USD per 1M input, output and cached-input tokens plus context window for ~3,300 models (OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek, Llama, Mistral, Qwen, xAI ...) across providers (direct, Azure, Bedrock, Vertex, Together, Fireworks ...). Filter by model and provider; sorted by input price.
Output
A JSON object containing a 'models' array where each entry includes the model name, provider, mode (e.g. chat), max_input_tokens (context window), input_usd_per_mtok, output_usd_per_mtok, and cache_read_usd_per_mtok. Also includes a 'matched' count of results returned.
Example use cases
Cost comparison before model selection
“I'm picking an LLM for my summarization pipeline — can you pull the input and output prices per million tokens for gpt-4o across OpenAI direct, Azure, and any other providers that carry it?”
Budget estimation for cached context workloads
“We're building a RAG system and expect heavy cache hits — what's the cached-input price per million tokens for Claude 3.5 Sonnet on Anthropic, and how does that compare to Bedrock?”
Cheapest large-context model discovery
“I need a model with at least 128k context — can you find the five cheapest options by input price per million tokens, sorted lowest first?”
Technical details
Endpoint
GEThttps://fx-reference-rates.regnotes.workers.dev/v1/ai/llm-prices?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, up-to-date LLM token pricing across a wide range of models and hosting providers (OpenAI, Anthropic, Azure, Bedrock, Vertex, Together, Fireworks, etc.) in a single call. It covers ~3,300 models and is ideal for cost estimation, provider comparison, or budget optimization workflows. Prefer it over manual web scraping or provider-specific pricing pages when you need machine-readable, filterable data in an agent pipeline.
Side effects
- Model name not found — returns empty models array with matched: 0
- Invalid limit format (non-numeric or >3 digits) — schema validation error
- Unknown provider string — returns empty results rather than an error
- No query parameters provided — may return unfiltered or error response
- Rate limiting or payment failure via x402 protocol — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"models": [
{
"mode": "chat",
"model": "claude-sonnet-4-5",
"provider": "anthropic",
"max_input_tokens": 200000,
"input_usd_per_mtok": 3,
"output_usd_per_mtok": 15,
"cache_read_usd_per_mtok": 0.3
}
],
"matched": 1
}
}Tags
x402
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