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x402engine Qwen3.8-Omni-Flash LLM
x402
x402engine Qwen3.8-Omni-Flash LLM is a paid API for AI agents from x402engine.app, paid per call via x402, $0.002458/call, status unknown (last checked 2026-10-12).
Call Alibaba's Qwen3 8B Omni Flash multimodal model (text, image, audio, video) via a pay-per-call HTTP 402 micropayment API
Price / call$0.002458
Success—
StatusUnknown
How this service works
x402engine — Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Output
Returns an OpenAI-compatible JSON response with the assistant's message content, role, finish_reason, and model name. May also include tool_calls if function calling is triggered, and optional reasoning text. Supports streaming via SSE when the stream flag is enabled.
Example use cases
Video scene understanding and summarization
“I have a short video file. Can you send it to Qwen3 Omni Flash and get back a detailed description of what's happening — the visuals, any spoken words, and a one-paragraph summary?”
Multimodal customer support triage
“Analyze this customer-submitted image and the accompanying text message using Qwen3 Omni and tell me if it's a product defect, a usage error, or something else — give me your reasoning.”
Agentic tool-calling with Qwen
“I need a smart assistant that can look up live data using tools I define. Use Qwen3 Omni Flash with these function definitions and this conversation history to decide which tool to call next and with what arguments.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/qwen3.8-omni-flash?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cost-effective multimodal model that natively handles text, images, audio, and video in a single call. Ideal for agentic workflows requiring tool-calling support and omni-modal reasoning without hosting your own model. Prefer over text-only LLM endpoints when your task involves audio or video analysis. At $0.0025 per call via x402 micropayments, it suits high-frequency agent use cases where per-token billing would be complex.
Side effects
- Payment not settled — request blocked with HTTP 402 if micropayment is missing or insufficient
- Invalid message format — missing required 'messages' array or unsupported role enum causes schema validation error
- Unsupported media type — passing an audio or video URL the model cannot access or decode
- Context length exceeded — too many messages or overly long content exceeds model context window
- Streaming timeout — SSE connection drops mid-stream if response is very long
- Tool call loop — model repeatedly calls tools without stopping if stop conditions aren't set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "qwen/qwen3.8-omni-flash",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
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