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Saylor Innovations LLM Model Pricing & Context Lookup
x402
Saylor Innovations LLM Model Pricing & Context Lookup is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Returns pricing (input/output USD per million tokens), context window sizes, and capability flags for LLM models from OpenAI, Anthropic, Google, and other providers
Price / call$0.01
Success—
StatusUnknown
How this service works
LLM model pricing and context window lookup - input and output price per million tokens, max tokens and capabilities for OpenAI, Anthropic, Google and more
Output
A JSON object containing the number of matched models and an array of model records, each with the model ID, provider, input and output USD cost per million tokens, cached input pricing, max input and output token counts, supported capability flags, deprecation date, the data source used, and the UTC timestamp when the data was last checked. A note field may provide caveats about the data.
Example use cases
Cost estimation before model selection
“I'm deciding between claude-3-5-sonnet and gpt-4o for a project — can you look up the input and output pricing per million tokens for both so I can compare costs?”
Context window check for long-document task
“I need to process a very long document — can you check what the maximum input token limit is for gemini-1.5-pro?”
Audit deprecated models in production
“We're using a few Anthropic models in production — can you check if any claude models are deprecated or have a deprecation date set?”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/llm/models?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need machine-readable LLM pricing, context window sizes, or capability metadata for one or more specific models — especially when comparing costs across providers like OpenAI, Anthropic, Google, or AWS Bedrock. Prefer this over manually checking provider docs when you need structured data that can be used in cost calculations or routing logic.
Side effects
- Missing required query parameter 'q' returns an error
- Query string matches no models, returning matched=0 and an empty models array
- Provider filter typo returns no results
- Pricing data may be stale if checked_at timestamp is old
- Limit parameter outside 1-50 range may be rejected or clamped
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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