80trust / 100

Llama Pricing

by modelprices.xyz in AI models & inference

x402 APIPassing, checked 2 h ago

Llama pricing table: what every Llama model costs per token right now — Llama 4 Scout, Llama 4 Maverick, Llama 3.3 — from Meta and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare Llama inference cost across hosts and pick the cheapest place to run one. Normalized, cross-checked, refreshed hourly.

GET https://modelprices.xyz/llama-pricing

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
43 ms typical, 108 ms slowest 5%
Last check
2 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X GET "https://modelprices.xyz/llama-pricing"
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fmodelprices.xyz%2Fllama-pricing
const res = await pay("https://modelprices.xyz/llama-pricing");
console.log(await res.json());

Example input

{}

Example output

{
  "board": "Llama model pricing",
  "generated_at": "2026-07-14T02:00:00.000Z",
  "model_count": 24,
  "models": [
    {
      "context_window": 200000,
      "id": "llama-4-scout",
      "input_per_mtok": 3,
      "output_per_mtok": 15,
      "provider": "anthropic"
    }
  ]
}

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
2 h agoPassed402108 ms$0.01
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