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LLM Model Price Table – Ranked & Lookup
x402
LLM Model Price Table – Ranked & Lookup is a paid API for AI agents from llm-model-price-table.x402supply.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-31).
Ranks LLM models cheapest-first by blended USD per 1M tokens with rich filters, or looks up pricing for a single named model
Price / call$0.005
Success—
StatusUnknown
How this service works
Ranks models cheapest first by blended USD per 1M tokens (inputShare weights input vs output). Filter by provider, mode, minContextTokens, input/output modality, function calling, vision and price caps. Skips sample_spec and models past their deprecation date.; Looks up pricing for one model by name
Output
Returns a ranked list of LLM models sorted by blended USD per 1M tokens (or a single model's pricing record), including input price, output price, blended price, provider, context window size, supported modalities, function calling support, vision support, and deprecation status. Models past their deprecation date and sample specs are excluded.
Example use cases
Budget-aware model selection for a startup
“I need the cheapest model available that supports function calling and has at least a 64k context window — show me everything under $3 per million tokens, ranked cheapest first, assuming mostly input traffic (90% input share).”
Provider-specific price comparison
“List all Anthropic models ranked by blended price per million tokens, assuming 70% input and 30% output, and exclude anything that's been deprecated.”
Single model pricing lookup
“What does GPT-4o cost per million tokens — I need both the input and output prices and the blended rate assuming equal input and output usage.”
Technical details
Endpoint
POSThttps://llm-model-price-table.x402supply.com/mcp?utm_source=zero.xyzWhen to prefer
Use this endpoint when an agent or user needs to compare LLM model costs programmatically, select the most cost-effective model for a workload, or look up current pricing for a specific named model. Prefer it over manual documentation checks or generic web search when you need structured, filterable, ranked pricing data — especially when optimizing for a specific input/output ratio, modality requirement, or context length.
Side effects
- Unknown model name returns empty result or not-found error
- Overly restrictive filter combination (e.g. vision + function calling + very low price cap) returns empty list
- Invalid or misspelled provider name returns no results
- minContextTokens value larger than any available model returns empty list
- Stale pricing data if the underlying price table has not been recently updated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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