# ZeroReader Qwen3-30B MoE Chat Completion

> 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

## Facts

- Endpoint: POST https://api.zeroreader.com/v1/ai/qwen3-30b?utm_source=zero.xyz
- Price: $0.003/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/zeroreader-qwen3-30b-moe-chat-completion-a6cf44cf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-o7N-Ple9pWBduvoHxU4M

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 zeroreader-qwen3-30b-moe-chat-completion-a6cf44cf -d '<json body>'
```

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.'

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "stream": {
   "type": "boolean",
   "default": false
  },
  "messages": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "role",
     "content"
    ],
    "properties": {
     "role": {
      "enum": [
       "system",
       "user",
       "assistant"
      ],
      "type": "string"
     },
     "content": {
      "type": "string"
     }
    }
   }
  },
  "max_tokens": {
   "type": "integer",
   "default": 1024,
   "maximum": 4096
  },
  "temperature": {
   "type": "number",
   "default": 0.7,
   "maximum": 2,
   "minimum": 0
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/zeroreader-qwen3-30b-moe-chat-completion-a6cf44cf/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.zeroreader.com](https://www.zero.xyz/host/api.zeroreader.com/llms.txt)