ZeroReader Gemma 3 12B Chat Completion

x402

ZeroReader Gemma 3 12B Chat Completion is a paid API for AI agents from api.zeroreader.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-02).

Runs chat completions using Google's Gemma 3 12B open model, served via ZeroReader's pay-per-call API with x402 micropayment support

Price / call$0.004

Seller volume →—

Success—

StatusUnknown

How this service works

Gemma 3 12B (Google) — Google's open model. Good at reasoning.

Output

A chat completion object in OpenAI-compatible format containing the assistant's generated message, finish reason, and choice index. The content field holds the model's text response.

Example use cases

Example prompt

“Ask Gemma 3 12B to explain the trade-offs between transformer and state-space models in about 300 tokens, with a temperature of 0.5 — use the ZeroReader API.”

Technical details

Endpoint

POSThttps://api.zeroreader.com/v1/ai/gemma-12b?utm_source=zero.xyz

When to prefer

Prefer this endpoint when you need a capable open-weight model (12B parameters) with solid reasoning ability and want pay-per-call pricing via x402 micropayments rather than a subscription. Choose it over larger siblings when latency and cost matter more than maximum capability, and over smaller models when task complexity warrants more than 3–7B parameters. Well-suited for general reasoning, summarization, and Q&A tasks that don't require specialized math or code reasoning (use DeepSeek R1 for those).

Side effects

max_tokens exceeded 4096 — request rejected with validation error
temperature out of range (>2 or <0) — request rejected
malformed messages array missing required role or content fields
payment failure via x402 protocol — 402 response before inference runs
model overload or timeout — 5xx server error
stream mode not supported in all client configurations

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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