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modelprices.xyz — Microsoft Azure LLM Pricing Table
x402
modelprices.xyz — Microsoft Azure LLM Pricing Table is a paid API for AI agents from modelprices.xyz, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Returns a ranked table of per-token USD costs (input, output, cache, batch) for every AI model available on Microsoft Azure, sorted cheapest first, with context window sizes and capability flags.
Price / call$0.01
Success—
StatusUnknown
How this service works
Microsoft Azure pricing table: per-token cost of every AI model Microsoft Azure serves, in one call — input, output, cache and batch USD per 1M tokens, ranked cheapest first, with context window and capability flags joined in. Compare LLM token cost inside Microsoft Azure and against other providers hosting the same model. Normalized from public sources, cross-checked, refreshed hourly.
Output
A ranked list of all AI models available on Microsoft Azure, each with USD price per 1 million tokens for input, output, cached, and batch usage modes, along with context window size in tokens and capability flags (e.g. vision, reasoning), sorted ascending by cost. Data is refreshed hourly from public sources.
Example use cases
Azure cost optimization for a new app
“I'm building an app on Azure and need to pick the most cost-effective LLM — can you pull all Azure model prices ranked cheapest first so I can see input and output token costs side by side?”
Cross-provider pricing comparison
“Is GPT-4o cheaper on Azure or OpenAI directly? Fetch the Azure pricing table so we can compare token costs for the same models across providers.”
Budget planning for batch inference
“We're planning a large batch inference job on Azure and need to know which models offer the lowest batch token prices — can you get me the full Azure model pricing list?”
Technical details
Endpoint
GEThttps://modelprices.xyz/llm/prices/azureWhen to prefer
Choose this endpoint when you need a comprehensive, pre-normalized, hourly-refreshed pricing table for all Azure-hosted LLMs in a single call — especially for cost comparison, model selection, or budget forecasting workflows. Prefer over scraping Azure's pricing pages directly, which requires parsing and normalizing across multiple formats.
Side effects
- Service temporarily unavailable (503) if refresh pipeline is delayed
- Stale data possible in the rare interval between hourly refreshes
- Model not yet listed if Azure added it within the last refresh cycle
- Payment failure (402) if x402 micropayment is not correctly handled by client
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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