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LLM Price Calculator
x402
LLM Price Calculator is a paid API for AI agents from 1gateway.dev, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-28).
Returns USD pricing per 1M tokens, context window, capabilities, and cost estimates for one or more LLM models, or ranks the cheapest models matching given criteria.
Price / call$0.004
Success—
StatusUnknown
How this service works
Use when an agent must price an LLM call or pick the cheapest model. Input: model (up to 5, comma list) plus optional input_tokens, output_tokens, requests; or no model plus mode, provider, min_context, capabilities (vision, function_calling...). Output: JSON USD per 1M input/output tokens, cached/batch prices, context window, provider, capabilities, cost estimate or cheapest ranking, as_of + source commit. Example: ?model=gpt-4o&input_tokens=12000&output_tokens=800
Output
A JSON object containing: the query echo, data freshness date and LiteLLM source commit, and per-model results with input/output/cached/batch prices per 1M tokens, context window size, capabilities list, deprecation status, and (if token counts or request count provided) a full cost breakdown including total_cost_usd and cost_per_request_usd. In ranking mode, returns models sorted by cost ascending.
Example use cases
Cost estimate before deploying LLM pipeline
“I'm about to run a batch job — 50000 requests to gpt-4o with about 2000 input tokens and 500 output tokens each. What's the total estimated cost in USD, and does it support batch pricing?”
Find cheapest vision-capable chat model
“I need a chat model that supports vision and function calling with at least a 100k context window — can you rank the 5 cheapest options across all providers?”
Compare pricing across providers for same model
“Show me the price per million tokens for claude-sonnet-4-5 across all providers it's available on, including any cached or batch discounts.”
Technical details
Endpoint
GEThttps://1gateway.dev/v1/ai/llm-prices?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent needs to select or price LLM API calls programmatically — especially when comparing multiple models, filtering by capabilities or context window, or estimating costs at scale. Prefer this over manual lookup when the agent must make cost-aware routing decisions, enforce budget constraints, or present pricing comparisons to users. The endpoint is backed by the well-maintained LiteLLM price table (3400+ models) and returns structured JSON suitable for automated decision-making.
Side effects
- Unknown model name returns HTTP 400 with suggested alternatives (not charged)
- Invalid provider ID pattern returns 400
- Requesting more than 5 models in a comma list returns error
- Capability filter with no matching models returns empty results array
- Stale pricing if LiteLLM upstream has not been updated recently (as_of date indicates freshness)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"kind": "lookup",
"as_of": "2026-10-18",
"query": {
"mode": "chat",
"limit": 3,
"model": [
"gpt-4o"
],
"provider": null,
"requests": 1000,
"min_context": null,
"capabilities": [],
"input_tokens": 12000,
"output_tokens": 800,
"include_deprecated": false
},
"source": {
"url": "https://github.com/BerriAI/litellm/blob/af194c842cd8c0276f69fc05efacaa18505c7484/model_prices_and_context_window.json",
"name": "LiteLLM model_prices_and_context_window.json",
"commit": "af194c842cd8c0276f69fc05efacaa18505c7484",
"license": "MIT",
"committed_at": "2026-10-18T02:54:27Z",
"models_in_table": 3418
},
"results": [
{
"query": "gpt-4o",
"listings": [
{
"mode": "chat",
"model": "gpt-4o",
"estimate": {
"requests": 1000,
"input_tokens": 12000,
"output_tokens": 800,
"input_cost_usd": 30,
"total_cost_usd": 38,
"output_cost_usd": 8,
"cost_per_request_usd": 0.038,
"long_context_tier_applied": false
},
"provider": "openai",
"deprecated": false,
"capabilities": [
"vision"
],
"context_window": 128000,
"deprecation_date": null,
"input_per_1m_usd": 2.5,
"long_context_tier": null,
"max_output_tokens": 16384,
"output_per_1m_usd": 10,
"batch_input_per_1m_usd": 1.25,
"batch_output_per_1m_usd": 5,
"cached_input_per_1m_usd": 1.25
}
],
"exact_match": true,
"listings_total": 5
}
],
"attribution": "Prices: LiteLLM model_prices_and_context_window.json, MIT License, Copyright (c) 2023 Berri AI. List prices as compiled by LiteLLM; confirm with the provider b…"
}
}Tags
x402
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