Model Marketplace

Qwen3.5-LiveTranslate-Flash-Realtime

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Overview

The real-time version of Qwen3.5-LiveTranslate-Flash, which is a high-precision, highly responsive, and robust multilingual simultaneous audio and video interpretation model. Leveraging Qwen3.5-Omni's powerful infrastructure, massive multimodal data, cross-language and cross-modal alignment, and visual enhancement technologies, Qwen3.5-LiveTranslate-Flash offers both offline and real-time audio and video translation capabilities. It can understand 60 languages ​​and speak 29 languages.

Input

AudioImage

Output

AudioText

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • Input: Audio
    $7.5Per 1M tokens
  • Input: Image
    $0.55Per 1M tokens
  • Output: Text
    $20Per 1M tokens
  • Output: Audio
    $30Per 1M tokens

Rate Limits & Context

  • Max Input
    49K
  • Max Output
    4K
  • Context
    53K
  • TPMTokens Per Minute
    100K
  • RPMRequests Per Minute
    10

API Reference

Call API
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# pip install websocket-client
import json
import websocket
import os

API_KEY=os.getenv("DASHSCOPE_API_KEY")
API_URL = "wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime?model=qwen3.5-livetranslate-flash-realtime"

headers = [
"Authorization: Bearer " + API_KEY
]

def on_open(ws):
print(f"Connected to server: {API_URL}")
def on_message(ws, message):
data = json.loads(message)
print("Received event:", json.dumps(data, indent=2))
def on_error(ws, error):
print("Error:", error)

ws = websocket.WebSocketApp(
API_URL,
header=headers,
on_open=on_open,
on_message=on_message,
on_error=on_error
)

ws.run_forever()