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x402engine Qwen 2.5-72B Instruct LLM
x402
x402engine Qwen 2.5-72B Instruct LLM is a paid API for AI agents from x402engine.app, paid per call via x402, $0.003898/call, status unknown (last checked 2026-10-12).
Run inference on Alibaba's Qwen 2.5 72B Instruct language model via a pay-per-call HTTP 402 micropayment API
Price / call$0.003898
Success—
StatusUnknown
How this service works
125 production APIs behind HTTP 402 micropayments. 87 LLMs, Kling V3 and Hailuo video generation, image generation, code execution, travel search, web scraping, TTS, and transaction simulation. Pay with USDC on Base, USDm on MegaETH, or USDC on Solana.
Output
Returns an OpenAI-compatible JSON response containing the model name (qwen/qwen-2.5-72b-instruct), a choices array with the assistant message (role, content, optional tool_calls), finish_reason (e.g. 'stop'), and a top-level content field. When streaming is enabled, delivers OpenAI-compatible SSE chunks instead.
Example use cases
Multi-turn customer support chatbot
“I need you to answer a customer's question using Qwen 2.5 72B — here's the conversation so far: system says 'You are a helpful support agent', and the user just asked 'How do I reset my password?' Give me the assistant reply.”
Agentic tool-calling workflow
“Use Qwen 2.5 72B to figure out which of my custom functions to call given this user request: 'What's the weather in Tokyo?' — I'll pass you the function definitions and you return whatever tool call Qwen recommends.”
Code explanation on demand
“Have Qwen 2.5 72B Instruct explain what this Python function does and suggest improvements: 'def fib(n): return n if n<=1 else fib(n-1)+fib(n-2)'”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/qwen?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a high-quality open-weight instruction-following model (72B parameters) without a subscription, API key setup, or monthly commitment — paying only $0.0039 per call in USDC. Prefer Qwen 2.5-72B over smaller models when task complexity demands strong reasoning, coding, or multilingual support. Use over proprietary alternatives when cost predictability per call matters or when building agentic pipelines that need tool/function-calling support at low marginal cost.
Side effects
- Payment not settled — 402 response returned if micropayment fails or USDC balance insufficient
- Invalid messages format — missing required 'messages' array causes schema validation error
- Unsupported parameter — passing top_k or seed to a model that doesn't support it may be silently ignored or error
- Context length exceeded — very long message arrays may exceed the model's context window
- Stream interruption — SSE stream may cut off mid-response on network issues
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "qwen/qwen-2.5-72b-instruct",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
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