# x402engine Qwen3.8-Omni-Flash LLM

> 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

## Facts

- Endpoint: POST https://x402engine.app/api/llm/qwen3.8-omni-flash?utm_source=zero.xyz
- Price: $0.002458/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402engine-qwen3-8-omni-flash-llm-28437919
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BObHw6T6djM5kQO51_zLd

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 x402engine-qwen3-8-omni-flash-llm-28437919 -d '<json body>'
```

Example prompt: Use Qwen3 Omni Flash to analyze this video clip and tell me what's happening — describe the key events, any speech you hear, and the overall scene.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "bodyType",
    "body",
    "method"
   ],
   "properties": {
    "body": {
     "type": "object",
     "required": [
      "messages"
     ],
     "properties": {
      "seed": {
       "type": "integer",
       "description": "Model-supported seed; see /docs/llm-capabilities.md."
      },
      "stop": {
       "oneOf": [
        {
         "type": "string"
        },
        {
         "type": "array",
         "items": {
          "type": "string"
         },
         "maxItems": 4
        }
       ],
       "description": "Model-supported stop; see /docs/llm-capabilities.md."
      },
      "tools": {
       "type": "array",
       "items": {
        "type": "object",
        "required": [
         "function"
        ],
        "properties": {
         "type": {
          "enum": [
           "function"
          ],
          "type": "string"
         },
         "function": {
          "type": "object",
          "properties": {
           "name": {
            "type": "string"
           },
           "strict": {
            "type": "boolean"
           },
           "parameters": {
            "type": "object"
           },
           "description": {
            "type": "string"
           }
          }
         }
        }
       },
       "description": "Client-executed function definitions; return results using role=tool and tool_call_id."
      },
      "top_k": {
       "type": "integer",
       "description": "Model-supported top_k; see /docs/llm-capabilities.md."
      },
      "top_p": {
       "type": "number",
       "description": "Model-supported top_p; see /docs/llm-capabilities.md."
      },
      "stream": {
       "type": "boolean",
       "description": "Return live OpenAI-compatible SSE after payment settlement."
      },
      "logprobs": {
       "type": "boolean",
       "description": "Model-supported logprobs; see /docs/llm-capabilities.md."
      },
      "messages": {
       "type": "array",
       "items": {
        "type": "object",
        "anyOf": [
         {
          "required": [
           "content"
          ]
         },
         {
          "required": [
           "tool_calls"
          ]
         }
        ],
        "required": [
         "role"
        ],
        "properties": {
         "name": {
          "type": "
… (truncated)
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "model": "qwen/qwen3.8-omni-flash",
  "choices": [
   {
    "index": 0,
    "message": {
     "role": "assistant",
     "content": "Hello!"
    },
    "finish_reason": "stop"
   }
  ],
  "content": "Hello!"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402engine-qwen3-8-omni-flash-llm-28437919/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402engine.app](https://www.zero.xyz/host/x402engine.app/llms.txt)