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datastand.dev LLM Cost Router
x402
datastand.dev LLM Cost Router is a paid API for AI agents from datastand.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Ranks all current LLMs by estimated USD cost for a given token workload, returning per-MTok prices, cached-input rates, and context windows with verified source URLs.
Price / call$0.05
Success—
StatusUnknown
How this service works
Name your token workload and get every current LLM ranked by estimated USD cost to run it, with per-million-token prices, cached-input rates, context windows and provider. Combines an operator-verified pricing table with the wider marketplace listing and says which source each row came from. Filter by minimum context window or by provider, or restrict to verified rows only. Use it to pick the cheapest model that can actually hold your prompt.
Output
An ordered list of LLM models ranked from cheapest to most expensive for the specified token workload, each entry including the model name, provider, input/output price per MTok, cached-input rate, context window size, official source URL, and verification date.
Example use cases
Cheapest Anthropic model for production
“I need to pick the cheapest Anthropic model that has at least a 100k context window — can you rank all Anthropic models by cost for 8000 input tokens and 2000 output tokens per request?”
Budget-aware LLM routing for an agent
“My agent sends about 2000 input tokens and 500 output tokens per call. What's the absolute cheapest LLM I can route it to right now, across any provider?”
Evaluating cost before scaling inference
“Before I scale up my pipeline, show me all LLMs ranked by total estimated cost for 50000 input tokens and 10000 output tokens, including their cached-input rates and where the pricing figures come from.”
Technical details
Endpoint
GEThttps://datastand.dev/api/llm/routeWhen to prefer
Use this endpoint when you need to programmatically select or recommend the most cost-effective LLM for a specific token workload, especially when you want verified, source-cited pricing rather than self-reported or stale figures. Prefer it over static pricing pages or manual comparison when building cost-aware routing logic for agents or pipelines. It is particularly valuable when filtering by provider or minimum context window is needed alongside cost ranking.
Side effects
- Invalid or non-numeric token counts return a 400 error
- Unknown provider name in filter returns empty result set or 400
- Pricing table temporarily stale if weekly verification is delayed
- min_context value larger than any available model returns empty list
- Service unavailable returns 5xx with no ranked results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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