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GEDX402 Llama 3.1 8B Instruct AWQ
x402
GEDX402 Llama 3.1 8B Instruct AWQ is a paid API for AI agents from chat.gedx402.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Run inference on Meta's Llama 3.1 8B Instruct (AWQ quantized) via a pay-per-call x402 API using USDC, no API key required.
Price / call$0.01
Success—
StatusUnknown
How this service works
x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.
Output
A JSON object with the model name (@cf/meta/llama-3.1-8b-instruct-awq) and the assistant's generated text response string.
Example use cases
Example prompt
“Ask Llama 3.1 8B to explain how photosynthesis works in simple terms — pay per call with USDC, no API key needed, keep the reply under 200 tokens.”
Technical details
Endpoint
GEThttps://chat.gedx402.com/v1/llm/llama-3.1-8b-instruct-awqWhen to prefer
Choose this endpoint when you need cheap, keyless LLM inference paid per-call in USDC on a supported blockchain (Base, Polygon, Arbitrum, World, Solana), especially for agents that can't manage long-lived API subscriptions or need to pay atomically per request via the x402 protocol. Best for lightweight chat and text generation tasks where a smaller 8B model is sufficient.
Side effects
- Payment not received or insufficient USDC — 402 Payment Required response
- Invalid message format or missing required role/content fields — 400 Bad Request
- max_tokens exceeds 4096 — validation error
- Unsupported blockchain network specified for payment
- Model inference timeout or Cloudflare Workers AI downstream error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| messages | array | Conversation turns in order (system, user, assistant). |
| max_tokens | integer | Maximum tokens to generate in the assistant reply. |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "@cf/meta/llama-3.1-8b-instruct-awq",
"response": "Hello!"
}
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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