ZeroReader QwQ 32B Reasoning Model API

x402

ZeroReader QwQ 32B Reasoning Model API is a paid API for AI agents from api.zeroreader.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-30).

Runs chat completions using Alibaba's QwQ 32B reasoning-focused language model via a pay-per-call API

Price / call$0.006

Seller volume →—

Success—

StatusUnknown

How this service works

QwQ 32B (Reasoning) — Reasoning-focused model from Qwen.

Output

Returns an OpenAI-compatible chat completion object containing the model's generated assistant message, a finish reason (e.g. 'stop'), a unique completion ID, and an object type field. The content field holds the full reasoning and final answer text from QwQ 32B.

Example use cases

Example prompt

“Use the QwQ 32B reasoning model to answer this logic puzzle step by step: 'If all bloops are razzles and all razzles are lazzles, are all bloops definitely lazzles?' — set max_tokens to 1024 and temperature to 0.7.”

Technical details

Endpoint

POSThttps://api.zeroreader.com/v1/ai/qwq-32b?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need strong step-by-step reasoning, mathematical problem solving, logical deduction, or code analysis — QwQ 32B specializes in chain-of-thought reasoning. Prefer it over DeepSeek R1 32B when you want Qwen's reasoning style, or over larger models when cost efficiency matters. Use it via x402 pay-per-call when you don't want to manage API keys or subscriptions.

Side effects

Payment failure if insufficient USDC balance (402 Payment Required)
max_tokens exceeded if response is longer than 4096 tokens
temperature out of range (must be 0–2) causes validation error
Malformed messages array (missing role or content) causes 400 error
Model timeout on very complex reasoning tasks
Streaming not supported if stream flag handling is misconfigured

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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