ZeroReader Llama 3.2 3B Chat Completion

x402

ZeroReader Llama 3.2 3B Chat Completion is a paid API for AI agents from api.zeroreader.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-02).

Runs chat completions using Meta's Llama 3.2 3B model, offering a fast and cost-effective balance of speed and quality for straightforward text generation tasks.

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Llama 3.2 3B — Good balance of speed and quality for simple tasks.

Output

Returns an OpenAI-compatible chat completion object with a choices array containing the assistant's generated message, a finish_reason ('stop' or 'length'), and a completion ID. The assistant content is a plain text string.

Example use cases

Example prompt

“Send this conversation to the Llama 3.2 3B model with a system message saying 'You are a helpful assistant' and a user message asking 'What are three tips for writing clean Python code?' — keep temperature at 0.7 and max tokens at 512.”

Technical details

Endpoint

POSThttps://api.zeroreader.com/v1/ai/llama-3b?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, low-cost chat completions for simple or short-form tasks where a 3B parameter model is sufficient — e.g., classification, summarization, Q&A, or lightweight generation. Prefer it over the larger sibling models (17B, 32B, 120B) when latency and cost matter more than peak capability. Avoid it for complex reasoning, math, or code tasks where DeepSeek R1 32B or GPT-OSS 120B would be more appropriate.

Side effects

Invalid or missing 'messages' array returns a 400 validation error
Temperature outside [0, 2] range causes a schema validation rejection
max_tokens exceeding 4096 is rejected with a parameter error
Payment failure or insufficient USDC balance results in a 402 Payment Required response
Model unavailability or overload may return a 503 or timeout
Malformed role values (not 'system', 'user', or 'assistant') cause a 400 error

Input

Schema · Request body

Field	Type	Description
stream	boolean
messages	array
max_tokens	integer
temperature	number

Output

Schema · Response

{
  "id": "chatcmpl-example",
  "object": "chat.completion",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "I'm doing well!"
      },
      "finish_reason": "stop"
    }
  ]
}

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