Qwen-Audio-ASR-Flash-Filetrans

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Overview

qwen-audio-3.0-asr-flash-filetrans is a high-performance transcription model designed specifically for non-real-time, full-segment audio and video files. It not only integrates context enhancement capabilities but also enhances the recognition accuracy of trending words in vertical industries, making it ideal for short video subtitles, customer service quality inspection, and financial dual-recording scenarios.

Input

Audio

Output

Text

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

  • Audio Duration
    $0.000035Per second

Rate Limits

  • RPMRequests Per Minute
    600

API Reference

Call API
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curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/audio/asr/transcription' \
     --header "Authorization: Bearer $DASHSCOPE_API_KEY" \
     --header "Content-Type: application/json" \
     --header "X-DashScope-Async: enable" \
     --data '{
    "model": "qwen-audio-3.0-asr-flash-filetrans",
    "input": {
        "file_urls": [
            "{YOUR_AUDIO_URL}"
        ]
    },
    "parameters": {
        "channel_id": [0]
    }
}'