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Vextorium LLM Pricing API
x402
Vextorium LLM Pricing API is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-29).
Returns price per million input/output tokens, context window size, and estimated call cost for 300+ language models from providers like OpenAI, Anthropic, Google, Meta, Mistral, and DeepSeek via OpenRouter
Price / call$0.002
Success—
StatusUnknown
How this service works
Price per million input and output tokens of 300+ language models (OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek...) via OpenRouter, with context window and the estimated cost of one call with your token counts; filter by name or provider, sort by price or context.
Output
Returns a list of matching language models, each with: model ID, display name, supported modalities, context window in tokens, whether it is free, input price per million tokens in USD, output price per million tokens in USD, and the estimated cost in USD for a single call at the specified token counts. Also returns the total number of matching models, the search query used, and a source attribution note.
Example use cases
Budget LLM selection for a startup
“I need the cheapest models available for text generation — search for 'gpt' models, sort them by price, and show me how much a call with 500 input tokens and 200 output tokens would cost for each.”
Comparing top frontier models by cost
“Show me the 10 most expensive LLMs available sorted by price, so I can understand the premium end of the market — include their context window sizes and cost per million tokens for input and output.”
Finding free models for prototyping
“Which language models on OpenRouter are free to use? Search without any filter, sort by price, and list any that have no cost — I want to prototype without spending money.”
Technical details
Endpoint
POSThttps://api.vextorium.com/precios-llm-pago?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need programmatic, up-to-date LLM pricing data across 300+ models from multiple providers in a single call. Prefer it over manual price page lookups or provider-specific APIs when you need to compare costs across OpenAI, Anthropic, Google, Meta, Mistral, and DeepSeek simultaneously. Ideal for agents that need to select the most cost-effective model for a task, estimate budgets, or surface pricing information to users.
Side effects
- Invalid sort order enum value (must be 'precio', 'caro', or 'contexto')
- No models matched the search query — returns empty array
- Negative or zero token counts may produce unexpected cost estimates
- Missing required 'input' wrapper object causes schema validation failure
- Payment failure (x402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| orden | string | |
| buscar | string | |
| limite | integer | |
| tokens_salida | integer | |
| tokens_entrada | integer |
Tags
x402
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