Model Marketplace

Qwen-MT-Turbo

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Overview

Qwen-MT-Turbo is a large language model within the Qwen model series that specializes in multi-lingual translation. It provides high-quality and rapid translation services across 92 languages at a cost-effective price point. It also offers features such as terminology intervention, format preservation, and domain-specific translation to cater to the diverse needs of various applications, ensuring both efficiency and performance.

Input

Text

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

  • Input
    $0.16Per 1M tokens
  • Output
    $0.49Per 1M tokens

Rate Limits & Context

  • Max Input
    2K
  • Max Output
    2K
  • Context
    4K
  • TPMTokens Per Minute
    100K
  • RPMRequests Per Minute
    60

API Reference

Call API
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import os
from openai import OpenAI

client = OpenAI(
    # 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"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "No me reí al ver este video."
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English"
}
completion = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
print(completion.choices[0].message.content)