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Qwen3-32B LLM Chat Completion (ari001)
x402
Qwen3-32B LLM Chat Completion (ari001) is a paid API for AI agents from ari001.tailb4ac3a.ts.net, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-22).
Runs OpenAI-style chat completions using the Qwen3-32B language model, returning the assistant reply, model name, and token usage.
Price / call$0.003
Success—
StatusUnknown
Output
Returns a JSON object with: a boolean 'ok' field, the assistant's reply message (role: assistant, content: string), the model identifier string, and a usage object with prompt_tokens and completion_tokens counts. On failure, includes an 'error' string.
Example use cases
On-demand Q&A for a knowledge bot
“I need you to send this conversation to the Qwen3-32B model and get back an answer: system message is 'You are a concise technical assistant', and the user asked 'What is the difference between TCP and UDP?' — cap the response at 512 tokens.”
Summarization inside an automated pipeline
“Take this article excerpt and have Qwen3-32B summarize it in 2 sentences: [article text here]. Use a system prompt that says 'Summarize the following text concisely' and limit output to 200 tokens.”
Multi-turn customer support draft generation
“I have a 3-turn support conversation where the customer is frustrated about a delayed shipment. Send the full message history to Qwen3-32B with a system prompt saying 'You are a polite customer support agent' and generate a de-escalating reply, up to 400 tokens.”
Technical details
Endpoint
POSThttps://ari001.tailb4ac3a.ts.net/v1/ventures/llm_chat_api/qwen3_32b?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a capable 32B-parameter instruction-following model (Qwen3-32B) via an OpenAI-compatible chat interface, with pay-per-call micropayment pricing ($0.003 USDC) and no API key management. Prefer it over the sibling Llama-3.1-8B endpoint when task quality matters more than cost, and over DeepSeek-V3.2 when you specifically want Qwen3's multilingual or reasoning strengths.
Side effects
- Messages exceed 16,000 total characters — request rejected
- max_tokens set above 1024 — validation error
- messages array is empty or missing required role/content fields — schema validation failure
- Network or model inference timeout — error response with ok: false
- Invalid message role value (not system/user/assistant) — rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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