DEMO API DISCORD

简介

这里我们通过Qwen API介绍Qwen-MT (qwen-mt-turbo) 的最新更新。本次更新基于强大的Qwen3，利用万亿级多语言及翻译语料，全面增强了模型的多语言理解和翻译能力。通过引入强化学习技术，模型在翻译准确性和语言流畅度上取得了显著提升。

主要特性：

• 支持92种语言的多语言能力：Qwen-MT在92种主要官方语言和重要方言中实现高质量翻译，覆盖全球超过95%的人口，满足多样化的跨语言沟通需求。
• 高度可定制性：新版提供了术语干预、领域提示和翻译记忆等高级翻译功能。通过可定制的提示工程，它能为复杂的、领域特定的和关键任务的应用场景提供优化的翻译效果。
• 低延迟与成本优势：借助轻量级混合专家（MoE）架构，Qwen-MT以更快的响应速度实现高翻译性能，并大幅降低API成本（每百万输出Token低至0.5美元），特别适合高并发环境和延迟敏感的应用。

翻译质量

自动评估

我们在多领域翻译基准（尤其是中英和英德翻译）以及WMT24多语言翻译基准上评估了Qwen-MT。实验结果表明，Qwen-MT显著优于同等规模的模型，包括GPT-4.1-mini、Gemini-2.5-Flash和Qwen3-8B。值得注意的是，即使与GPT-4.1、Gemini-2.5-Pro和Qwen3-235B-A22B等最先进的大型语言模型相比，Qwen-MT仍保持有竞争力的翻译质量，同时其优化的轻量级架构能够实现快速翻译处理。

人工评估

自动评估方法存在固有的局限性，我们进一步实施了人工评估方案，利用来自十种主要语言的实际翻译数据：中文、英语、日语、韩语、泰语、阿拉伯语、意大利语、俄语、西班牙语和法语。我们严谨的评估框架包括三名独立的专业译员对每个测试样本进行评分，然后进行系统的交叉验证程序，以确保评估结果的客观性和可靠性。值得注意的是，Qwen-MT取得了优异的性能指标，在接受率和卓越率方面均展现出显著优势，验证了其在实际部署场景中卓越的翻译能力。

以下是一些翻译示例：

原文	Qwen-MT
Make your cubicle neat, tidy and make it a homey charm.	让你的隔间 整洁有序，营造出温馨舒适 的氛围。
Little study hack for y’all … do your homework/assignments the first day it was given to you… NO PROCRASTINATING!!! the day it was assigned	给大家 一个学习小技巧 ……拿到作业/任务的第一天就完成它……千万别拖延！就在布置的当天完成！
Kim also attended her ex’s first Donda listening party at Atlanta’s Mercedes-Benz Stadium on July 22.	金·卡戴珊也 于7月22日出席了她前男友在亚特兰大的梅赛德斯-奔驰体育场举行的首场《Donda》专辑试听会 。
作为互联网公司搬砖的表示，用结果来推导自己的论点，真是闲得蛋疼，马后炮事后诸葛亮就别分析那么多。	As a representation of working hard at an internet company, it’s really annoying to use results to deduce one’s own arguments. Don’t overanalyze things after the fact like a hindsight expert.
浪姐 一、二季还行，挺励志的。虽然什么成团确实挺扯的，起码过程也算新鲜，可以看。后面就有点炒回锅肉 的赶脚了：大家意识到了浪姐的讨论度，然后都来上浪姐，浪姐有需要继续办下去，所以就有了故取所需的赶脚 。	Seasons one and two of “Sister Who Makes Waves ” were decent and quite inspiring. Although the idea of forming a group was indeed ridiculous, at least the process itself was fresh and worth watching. Later on, it started to feel like reheated leftovers : everyone realized the show’s popularity, so they all jumped on the bandwagon. Since the show needed to continue, it felt like everything was being done for the sake of convenience.
发言人陈斌华表示：大陆企业出品的3A游戏《黑神话：悟空》 ，受到岛内 青年、游戏爱好者的追捧和好评。一方面是游戏本身制作精良、体验感好、趣味性强；另一方面是取材于**《西游记》** 的故事和人物角色，融入了大量古代建筑、东方美学、国风音乐等中华文化元素，岛内玩家 很熟悉、易亲近，毕竟大家都是读着四大名著 长大的中国人。	Spokesperson Chen Binhua stated: The 3A game “Black Myth: Wukong” produced by a mainland company, has been enthusiastically embraced and highly praised by young people and gaming enthusiasts in Taiwan. On one hand, the game itself is well-made, offers an excellent experience, and is highly engaging. On the other hand, it draws inspiration from the story and characters of “Journey to the West,” incorporating numerous elements of traditional Chinese culture, such as ancient architecture, Eastern aesthetics, and national-style music. These elements are familiar and easily relatable to players in Taiwan , after all, they are all Chinese who grew up reading the Four Great Classical Novels.
且夫秦欲璧，赵弗予璧，两无所曲直也。入璧而秦弗予城，曲在秦；秦出城而璧归，曲在赵。	Moreover, if Qin desires the jade, and Zhao refuses to give it, neither side is at fault. If Zhao gives the jade but Qin does not provide the city, the fault lies with Qin; if Qin provides the city but the jade returns to Zhao, the fault lies with Zhao.

语言支持

语言家族	语言名称
印欧语系	Afrikaans, Armenian, Assamese, Asturian, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, French, Galician, German, Greek, Gujarati, Hindi, Icelandic, Italian, Latvian, Lithuanian, Luxembourgish, Macedonian, Maithili, Marathi, Nepali, Norwegian Bokmål, Norwegian Nynorsk, Occitan, Odia, Polish, Portuguese, Romanian, Russian, Serbian, Sicilian, Sindhi, Sinhala, Slovak, Slovenian, Spanish, Swedish, Tosk Albanian, Ukrainian, Urdu, Venetian, Welsh, Western Persian
汉藏语系	Chinese (Cantonese, Simplified, and Traditional), Burmese
亚非语系	Arabic (Standard, Egyptian, Mesopotamian, Moroccan, Najdi, North Levantine, South Levantine, Ta’izzi-Adeni, and Tunisian), Hebrew, Maltese
南岛语系	Cebuano, Indonesian, Javanese, Malay, Pangasinan, Tagalog, Waray
达罗毗荼语系	Kannada, Tamil, Telugu
突厥语系	Kazakh, North Azerbaijani, Northern Uzbek, Turkish
壮侗语系	Thai, Lao
乌拉尔语系	Estonian, Finnish, Hungarian
南亚语系	Khmer, Vietnamese
其他	Basque, Georgian, Japanese, Korean, Swahili

如何使用

您可以通过Qwen API轻松使用Qwen-MT。这里我们以一个简单的中文翻译成英文的场景为例。

python import os from openai import OpenAI

client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1", )

messages = [ { "role": "user", "content": "我看到这个视频后没有笑" } ]

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)

Qwen-MT支持术语干预、领域提示和翻译记忆等功能。例如，在涉及专业术语的翻译场景中，用户可以预定义关键术语对，并将其作为参数注入模型，确保在输出中一致地应用用户指定的词典。

python import os from openai import OpenAI

client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1", )

messages = [ { "role": "user", "content": "而这套生物传感器运用了石墨烯这种新型材料，它的目标物是化学元素，敏锐的“嗅觉”让它能更深度、准确地体现身体健康状况。" } ]

translation_options = { "source_lang": "Chinese", "target_lang": "English", "terms": [ { "source": "生物传感器", "target": "biological sensor" }, { "source": "石墨烯", "target": "graphene" }, { "source": "化学元素", "target": "chemical elements" }, { "source": "身体健康状况", "target": "health status of the body" } ] }

completion = client.chat.completions.create( model="qwen-mt-turbo", messages=messages, extra_body={ "translation_options": translation_options } )

print(completion.choices[0].message.content)

Response:

This biological sensor uses graphene, a new material, and its target is chemical elements. Its sensitive "nose" can more deeply and accurately reflect the health status of the body.

此外，翻译风格必须适应上下文细微差别。例如，在法律和官方语境中需要使用正式语体，而社交媒体沟通则需要口语化风格。为了确保恰当的风格适配，用户可以在提供源文本的同时，用自然语言描述上下文细节和风格偏好。

python import os from openai import OpenAI

client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1", )

messages = [ { "role": "user", "content": "第二个SELECT语句返回一个数字，表示在没有LIMIT子句的情况下，第一个SELECT语句返回了多少行。" } ]

translation_options = { "source_lang": "Chinese", "target_lang": "English", "domains": "The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style." }

completion = client.chat.completions.create( model="qwen-mt-turbo", messages=messages, extra_body={ "translation_options": translation_options } )

print(completion.choices[0].message.content)

Response:

The second SELECT statement returns a number that indicates how many rows were returned by the first SELECT statement without LIMIT clause.

有关更多高级功能，请参阅 Qwen API。

结语

Qwen-MT是一款支持92种语言互译的先进机器翻译模型，旨在通过API为全球用户提供智能、灵活且高效的翻译体验。虽然“信、达、雅”仍是一段充满挑战的持续旅程，我们坚持探索与改进。展望未来，我们将继续提升翻译的准确性与自然度，扩大语言覆盖范围，最终打破语言壁垒，实现真正无国界的沟通。

DEMO API DISCORD

Introduction#

Here we introduce the latest update of Qwen-MT (qwen-mt-turbo) via Qwen API. This update builds upon the powerful Qwen3, leveraging trillions multilingual and translation tokens to comprehensively enhance the model’s multilingual understanding and translation capabilities. By integrating reinforcement learning techniques, the model achieves significant improvements in translation accuracy and linguistic fluency.

Key Features:

• Multilingual Support for 92 Languages : Qwen-MT enables high-quality translation across 92 major official languages and prominent dialects, covering over 95% of the global population to meet diverse cross-lingual communication needs.
• High Customizability : The new version provides advanced translation capabilities such as terminology intervention, domain prompts and translation memory. By enabling customizable prompt engineering, it delivers optimized translation performance tailored to complex, domain-specific, and mission-critical application scenarios.
• Low Latency & Cost Efficiency: By leveraging a lightweight Mixture of Experts (MoE) architecture, Qwen-MT achieves high translation performance with faster response times and significantly reduced API costs (as low as $0.5 per million output tokens). This is particularly well-suited for high-concurrency environments and latency-sensitive applications.

Translation Quality#

Automatic Evaluation#

We evaluate Qwen-MT on multi-domain translation benchmark, specifically Chinese-English and English-German translation, as well as WMT24 multilingual translation benchmark. Experimental results demonstrate that Qwen-MT significantly outperforms comparably-sized models including GPT-4.1-mini, Gemini-2.5-Flash, and Qwen3-8B. Notably, even when compared to state-of-the-art large language models such as GPT-4.1, Gemini-2.5-Pro, and Qwen3-235B-A22B, Qwen-MT maintains competitive translation quality while its optimized lightweight architecture enables rapid translation processing.

Human Evaluation#

Automatic evaluation methods have inherent limitations, we further implemented human evaluation protocols leveraging real-world translation data across ten major languages: Chinese, English, Japanese, Korean, Thai, Arabic, Italian, Russian, Spanish, and French. Our rigorous evaluation framework involved three independent professional translators scoring each test sample, followed by systematic cross-validation procedures to ensure both objectivity and reliability of the assessment outcomes. Notably, Qwen-MT achieved superior performance metrics, demonstrating significant advantages in both acceptance rates and excellence rates, validating its exceptional translation capabilities in practical deployment scenarios.

Here are some translation examples：

Source Text	Qwen-MT
Make your cubicle neat, tidy and make it a homey charm.	让你的隔间 整洁有序，营造出温馨舒适 的氛围。
Little study hack for y’all … do your homework/assignments the first day it was given to you… NO PROCRASTINATING!!! the day it was assigned	给大家 一个学习小技巧 ……拿到作业/任务的第一天就完成它……千万别拖延！就在布置的当天完成！
Kim also attended her ex’s first Donda listening party at Atlanta’s Mercedes-Benz Stadium on July 22.	金·卡戴珊也 于7月22日出席了她前男友在亚特兰大的梅赛德斯-奔驰体育场举行的首场《Donda》专辑试听会 。
作为互联网公司搬砖的表示，用结果来推导自己的论点，真是闲得蛋疼，马后炮事后诸葛亮就别分析那么多。	As a representation of working hard at an internet company, it’s really annoying to use results to deduce one’s own arguments. Don’t overanalyze things after the fact like a hindsight expert.
浪姐 一、二季还行，挺励志的。虽然什么成团确实挺扯的，起码过程也算新鲜，可以看。后面就有点炒回锅肉 的赶脚了：大家意识到了浪姐的讨论度，然后都来上浪姐，浪姐有需要继续办下去，所以就有了故取所需的赶脚 。	Seasons one and two of “Sister Who Makes Waves ” were decent and quite inspiring. Although the idea of forming a group was indeed ridiculous, at least the process itself was fresh and worth watching. Later on, it started to feel like reheated leftovers : everyone realized the show’s popularity, so they all jumped on the bandwagon. Since the show needed to continue, it felt like everything was being done for the sake of convenience.
发言人陈斌华表示：大陆企业出品的3A游戏《黑神话：悟空》 ，受到岛内 青年、游戏爱好者的追捧和好评。一方面是游戏本身制作精良、体验感好、趣味性强；另一方面是取材于**《西游记》的故事和人物角色，融入了大量古代建筑、东方美学、国风音乐等中华文化元素，岛内玩家 很熟悉、易亲近，毕竟大家都是读着四大名著**长大的中国人。	Spokesperson Chen Binhua stated: The 3A game “Black Myth: Wukong” produced by a mainland company, has been enthusiastically embraced and highly praised by young people and gaming enthusiasts in Taiwan. On one hand, the game itself is well-made, offers an excellent experience, and is highly engaging. On the other hand, it draws inspiration from the story and characters of “Journey to the West,” incorporating numerous elements of traditional Chinese culture, such as ancient architecture, Eastern aesthetics, and national-style music. These elements are familiar and easily relatable to players in Taiwan , after all, they are all Chinese who grew up reading the Four Great Classical Novels.
且夫秦欲璧，赵弗予璧，两无所曲直也。入璧而秦弗予城，曲在秦；秦出城而璧归，曲在赵。	Moreover, if Qin desires the jade, and Zhao refuses to give it, neither side is at fault. If Zhao gives the jade but Qin does not provide the city, the fault lies with Qin; if Qin provides the city but the jade returns to Zhao, the fault lies with Zhao.

Language Support#

Language Family	Language Name
Indo-European	Afrikaans, Armenian, Assamese, Asturian, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, French, Galician, German, Greek, Gujarati, Hindi, Icelandic, Italian, Latvian, Lithuanian, Luxembourgish, Macedonian, Maithili, Marathi, Nepali, Norwegian Bokmål, Norwegian Nynorsk, Occitan, Odia, Polish, Portuguese, Romanian, Russian, Serbian, Sicilian, Sindhi, Sinhala, Slovak, Slovenian, Spanish, Swedish, Tosk Albanian, Ukrainian, Urdu, Venetian, Welsh, Western Persian
Sino-Tibetan	Chinese (Cantonese, Simplified, and Traditional), Burmese
Afro-Asiatic	Arabic (Standard, Egyptian, Mesopotamian, Moroccan, Najdi, North Levantine, South Levantine, Ta’izzi-Adeni, and Tunisian), Hebrew, Maltese
Austronesian	Cebuano, Indonesian, Javanese, Malay, Pangasinan, Tagalog, Waray
Dravidian	Kannada, Tamil, Telugu
Turkic	Kazakh, North Azerbaijani, Northern Uzbek, Turkish
Tai-Kadai	Thai, Lao
Uralic	Estonian, Finnish, Hungarian
Austroasiatic	Khmer, Vietnamese
Other	Basque, Georgian, Japanese, Korean, Swahili

How to use#

You can easily use Qwen-MT through Qwen API. Here we take a simple scenario of translating from Chinese to English as an example.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

messages = [
    {
        "role": "user",
        "content": "我看到这个视频后没有笑"
    }
]

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)

Qwen-MT supports features such as terminology intervention, domain prompts, and translation memory. For instance, in a translation scenario involves specialized terms, users can predefine key terminology pairs and inject them as parameters into the model, ensuring consistent application of user-specified lexicon throughout the output.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

messages = [
    {
        "role": "user",
        "content": "而这套生物传感器运用了石墨烯这种新型材料，它的目标物是化学元素，敏锐的“嗅觉”让它能更深度、准确地体现身体健康状况。"
    }
]

translation_options = {
    "source_lang": "Chinese",
    "target_lang": "English",
    "terms": [
        {
            "source": "生物传感器",
            "target": "biological sensor"
        },
        {
            "source": "石墨烯",
            "target": "graphene"
        },
        {
            "source": "化学元素",
            "target": "chemical elements"
        },
        {
            "source": "身体健康状况",
            "target": "health status of the body"
        }
    ]
}

completion = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
    
print(completion.choices[0].message.content)

# Response:
# This biological sensor uses graphene, a new material, and its target is chemical elements. Its sensitive "nose" can more deeply and accurately reflect the health status of the body. 

Moreover, translation style must adapt to contextual nuances. For example, in legal and official contexts, formal register is imperative, whereas social media communication demands a conversational tone. To ensure appropriate stylistic adaptation, users can provide contextual details and stylistic preferences in natural language alongside their source text.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

messages = [
    {
        "role": "user",
        "content": "第二个SELECT语句返回一个数字，表示在没有LIMIT子句的情况下，第一个SELECT语句返回了多少行。"
    }
]

translation_options = {
    "source_lang": "Chinese",
    "target_lang": "English",
    "domains": "The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style."
}

completion = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
    
print(completion.choices[0].message.content)

# Response:
# The second SELECT statement returns a number that indicates how many rows were returned by the first SELECT statement without LIMIT clause.

For more advanced features, please refer to Qwen API.

Conclusion#

Qwen-MT is an advanced machine translation model that supports translations among 92 languages. It aims to provide global users with smart, flexible, and efficient translation experience through APIs. While “faithfulness, fluency, and elegance” remains an ongoing journey filled with challenges, we are persistently exploring and improving. Looking ahead, we will continue to enhance translation accuracy and naturalness, expand coverage to more languages, ultimately dismantling language barriers to realize truly borderless communication.