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AgentRXI Qwen3-30B Chat Completions
x402
AgentRXI Qwen3-30B Chat Completions is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.004062/call, status unknown (last checked 2026-10-15).
OpenAI-compatible chat completions using Alibaba Qwen3 30B mixture-of-experts thinking model with tool calling, billed per token via x402 micropayments
Price / call$0.004062
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completions on Alibaba Qwen3 30B mixture-of-experts, thinking model with tool calling, the cheapest chat here. Set your OpenAI SDK base URL to https://agentrxi.com/v1/qwen and pay per token with x402 instead of an API key: $0.153 per million input and $1.005 per million output tokens, minimum $0.002 a call, at most $0.0072. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool
Output
Returns an OpenAI-compatible chat.completion JSON object including the assistant's message content, finish reason (e.g. 'stop'), role, token usage breakdown (prompt, completion, total), model name ('qwen3-30b-a3b'), and any tool calls if invoked. The response mirrors the exact OpenAI chat completions response shape.
Example use cases
Tool-calling agent reasoning step
“I need you to call Qwen3 30B with a system prompt saying 'You are a helpful data analyst' and a user message asking it to extract the top 3 trends from this sales data, with tool calling enabled so it can invoke my data-fetch tool.”
Budget LLM for high-volume summarization
“Summarize this 500-word article into 3 bullet points using the cheapest available LLM — I want to keep costs low since I'm running thousands of these, so use Qwen3 30B with max_tokens set to 100.”
Multilingual reply generation
“Translate and respond to this customer message in French using the Qwen3 reasoning model: 'I need help resetting my password.' Keep the tone polite and limit the reply to 80 tokens.”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/qwen/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need the cheapest available chat completion with tool calling support and don't want to manage an API key — ideal for high-volume, cost-sensitive agentic pipelines that already use x402 micropayments. Prefer over GPT-4 or Claude when budget is the primary constraint and Qwen3's mixture-of-experts reasoning quality is sufficient. Best when you are already using the OpenAI SDK and just want to swap the base URL.
Side effects
- Insufficient x402 payment: returns HTTP 402 if the micropayment is missing or too low
- Prompt too long: exceeds model context window, returns an error
- Invalid input schema: missing required 'prompt' query parameter causes a 400 error
- Rate limiting or model unavailability: may return 503 during high load
- Temperature or max_tokens out of range: may cause validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "qwen3-30b-a3b",
"usage": {
"total_tokens": 18,
"prompt_tokens": 14,
"completion_tokens": 4
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Bonjour !"
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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