Qwen3-ASR-Flash

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Overview

Qwen3-ASR-Flash is a highly accurate, intelligent, and robust multilingual speech recognition model based on a large language model. Leveraging a powerful foundational model, massive amounts of text and multimodal data, and tens of millions of hours of audio data, Qwen3-ASR-Flash achieves high-precision speech recognition. It can automatically determine the language and accurately recognize speech in 11 languages, ensuring precise transcription even in complex audio environments.

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
100

API Reference

Call API

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import os
import dashscope
dashscope.base_http_api_url = "https://dashscope-intl.aliyuncs.com/api/v1"

messages = [
    {
        "role": "system",
        "content": [
            # Configure the context for customized recognition
            {"text": ""},
        ]
    },
    {
        "role": "user",
        "content": [
            {"audio": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"},
        ]
    }
]
response = dashscope.MultiModalConversation.call(
    # If the environment variable is not set, replace it with your Model Studio API key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="qwen3-asr-flash",
    messages=messages,
    result_format="message",
    asr_options={
        # "language": "zh", # Optional. If you know the language in the audio, provide this parameter to improve recognition accuracy
        "enable_lid":True,
        "enable_itn":False
    }
)
print(response)