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AgentTools LLM Cost Calculator
x402
AgentTools LLM Cost Calculator is a paid API for AI agents from agenttools-hub.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-02).
Calculates the USD cost of an LLM API call by multiplying input and output token counts by published per-million-token prices for 15 current models across OpenAI, Anthropic, Google, DeepSeek, xAI, and Meta.
Price / call$0.001
Success—
StatusUnknown
How this service works
Calculate the API cost of an LLM call: input and output tokens × published per-million prices for 15 current models (OpenAI, Anthropic, Google, DeepSeek, xAI, Meta). Batch multiplier included for monthly estimates. Use this when an agent needs to tokens × current per-model prices = USD.
Output
Returns the calculated USD cost for the specified LLM model call, based on published per-million-token prices for input and output tokens respectively. Includes the per-call cost and, when a call count is provided, the estimated total cost across all calls.
Example use cases
Monthly LLM budget estimation
“I'm planning to run 20,000 calls to claude-sonnet-4 this month, each with roughly 1200 input tokens and 400 output tokens — what will that cost me in total?”
Model cost comparison for app launch
“What's the per-call USD cost for gemini-2.5-flash with 600 input tokens and 200 output tokens? I want to compare it against gpt-4.1-mini with the same token counts.”
Spot-check a single expensive LLM call
“How much did that one claude-opus-4 call just cost me? It had 4500 input tokens and 1800 output tokens.”
Technical details
Endpoint
GEThttps://agenttools-hub.vercel.app/api/v1/dev/llm-cost-calculator?utm_source=zero.xyzWhen to prefer
Use this endpoint when an agent needs to compute or estimate the monetary cost of LLM API calls using official published pricing for specific named models. Prefer it over manual lookups when you need a quick, accurate cost figure for budgeting, billing estimation, or model comparison across the 15 supported models (OpenAI, Anthropic, Google, DeepSeek, xAI, Meta).
Side effects
- Missing required inputTokens parameter returns a 400 error
- Unsupported model name not in the enum list returns a validation error
- Non-numeric token or call count values cause a bad request error
- Network timeout or service unavailability on the Vercel deployment
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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