Qwen-MT-Plus

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Overview

Qwen-MT-Plus is a flagship multilingual large language model specializing in translation. Being part of the Qwen model series, it supports translation between 92 languages and significantly outperforms traditional translation models in contextual understanding, terminology intervention, format preservation, and domain-specific tasks, and thereby delivers more natural and accurate translations.

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
$2.46Per 1M tokens
Output
$7.37Per 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://maas.qwencloudapi.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-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
print(completion.choices[0].message.content)