# GEDX402 Llama 3.2 11B Vision

> GEDX402 Llama 3.2 11B Vision is a paid API for AI agents from media.gedx402.com, paid per call via x402, $0.884/call, status unknown (last checked 2026-09-15).

Runs the Llama 3.2 11B multimodal vision model on a base64-encoded image, answering questions or following instructions about its contents

## Facts

- Endpoint: GET https://media.gedx402.com/v1/vision/llama-3.2-11b
- Price: $0.884/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/gedx402-llama-3-2-11b-vision-187e1d51
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_adOL-UqKHrjjkqpcpyMVI

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability gedx402-llama-3-2-11b-vision-187e1d51
```

Example prompt: Look at this base64-encoded image of a mountain landscape and describe what you see in detail — use up to 300 tokens for the response.

## When to prefer this

Choose this endpoint when you need a capable open-weights vision-language model (Llama 3.2 11B) with no API key setup, paying per-call in USDC via the x402 protocol on Base, Polygon, Arbitrum, World, or Solana. Ideal for crypto-native agents or workflows that already handle x402 payments and need image understanding without managing API credentials.

## Known failure modes

- Invalid or malformed base64 image string returns an error
- Image too large or unsupported format causes processing failure
- Payment not completed or insufficient USDC balance results in 402 response
- max_tokens set too low truncates the response mid-sentence
- Prompt not relevant to image may yield generic or hallucinated output

## 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 a 'description' field containing the model's natural language response about the image, e.g. {"description": "A sunset over mountains."}

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "image": {
   "type": "string",
   "description": "Base64-encoded image for multimodal input."
  },
  "prompt": {
   "type": "string",
   "description": "Optional question or instruction about the image."
  },
  "max_tokens": {
   "type": "integer",
   "description": "Maximum tokens in the vision model response."
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "description": "A sunset over mountains."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/gedx402-llama-3-2-11b-vision-187e1d51/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from media.gedx402.com](https://www.zero.xyz/host/media.gedx402.com/llms.txt)