ZeroReader Qwen3-30B MoE Chat Completion

x402

ZeroReader Qwen3-30B MoE Chat Completion is a paid API for AI agents from api.zeroreader.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-02).

Runs chat completions using Qwen3 30B MoE (3B active parameters) — a fast, capable mixture-of-experts LLM served via pay-per-call x402 micropayment

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

Qwen3 30B (MoE, 3B active) — 30B MoE model with only 3B active params. Fast + smart.

Output

Returns an OpenAI-compatible chat.completion JSON object containing the assistant's generated message text, finish reason (e.g. 'stop'), a completion ID, and the message role. The response follows the standard choices[0].message.content pattern.

Example use cases

Example prompt

“Use the Qwen3 30B model to answer this in up to 512 tokens with temperature 0.7: 'Explain the key differences between mixture-of-experts and dense transformer architectures in plain English.'”

Technical details

Endpoint

POSThttps://api.zeroreader.com/v1/ai/qwen3-30b?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a fast, cost-efficient large language model with strong multilingual and reasoning capability, especially when you want MoE efficiency (only 3B params active at inference despite 30B total) and prefer pay-per-call pricing over a subscription. Prefer over smaller models (Llama 3.2 3B, Mistral 7B) when task complexity warrants a larger model, and over DeepSeek R1 32B when chain-of-thought reasoning is not specifically required.

Side effects

Payment not processed — x402 payment required before response is served
max_tokens exceeded 4096 — request rejected with validation error
Invalid role value in messages array — enum must be 'system', 'user', or 'assistant'
Temperature out of range (>2 or <0) — request rejected
Empty or malformed messages array — model returns error
Stream mode enabled but client doesn't handle chunked SSE — partial response or timeout

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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