Dev Llm Cost Calculator

{
  "result": {
    "answer": "$0.0450",
    "answerLabel": "Cost — OpenAI gpt-4o",
    "details": [
      {
        "label": "Input cost",
        "value": "$0.030000 (12,000 tok × $2.5/M)"
      },
      {
        "label": "Output cost",
        "value": "$0.015000 (1,500 tok × $10/M)"
      },
      {
        "label": "Per call",
        "value": "$0.045000"
      },
      {
        "label": "Projected monthly (1 call/day)",
        "value": "$1.3500"
      }
    ],
    "steps": [
      "input: 12,000 ÷ 1e6 × $2.5",
      "output: 1,500 ÷ 1e6 × $10",
      "× 1 call(s) = total"
    ],
    "table": {
      "columns": [
        "Model",
        "Vendor",
        "$/M input",
        "$/M output"
      ],
      "rows": [
        [
          "gpt-5",
          "OpenAI",
          1.25,
          10
        ],
        [
          "gpt-5-mini",
          "OpenAI",
          0.25,
          2
        ],
        [
          "gpt-4.1",
          "OpenAI",
          2,
          8
        ],
        [
          "gpt-4.1-mini",
          "OpenAI",
          0.4,
          1.6
        ],
        [
          "gpt-4o",
          "OpenAI",
          2.5,
          10
        ],
        [
          "o4-mini",
          "OpenAI",
          1.1,
          4.4
        ],
        [
          "claude-opus-4",
          "Anthropic",
          15,
          75
        ],
        [
          "claude-sonnet-4",
          "Anthropic",
          3,
          15
        ],
        [
          "claude-haiku-4",
          "Anthropic",
          0.8,
          4
        ],
        [
          "gemini-2.5-pro",
          "Google",
          1.25,
          10
        ],
        [
          "gemini-2.5-flash",
          "Google",
          0.3,
          2.5
        ],
        [
          "gemini-2.0-flash",
          "Google",
          0.1,
          0.4
        ],
        [
          "deepseek-v3",
          "DeepSeek",
          0.27,
          1.1
        ],
        [
          "grok-3",
          "xAI",
          3,
          15
        ],
        [
          "llama-4-maverick",
          "Meta",
          0.22,
          0.88
        ]
      ]
    },
    "value": 0.045
  },
  "tool": "llm-cost-calculator"
}

# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://agentstoolshub.com/api/v1/dev/llm-cost-calculator?calls=1&inputTokens=12000&model=gpt-4o&outputTokens=1500'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - 'https://agentstoolshub.com/api/v1/dev/llm-cost-calculator?calls=1&inputTokens=12000&model=gpt-4o&outputTokens=1500' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode

// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.002 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.002" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.002 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagentstoolshub.com%2Fapi%2Fv1%2Fdev%2Fllm-cost-calculator
const res = await pay("https://agentstoolshub.com/api/v1/dev/llm-cost-calculator?calls=1&inputTokens=12000&model=gpt-4o&outputTokens=1500");
console.log(res.status, await res.text());

# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.002 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.002"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.get("https://agentstoolshub.com/api/v1/dev/llm-cost-calculator?calls=1&inputTokens=12000&model=gpt-4o&outputTokens=1500")
    print(res.status_code, res.text)