超越谷歌和OpenAI,腾讯混元登顶AI 翻译
作者：微信文章Tencent’s Hunyuan Models Top the Charts, Outshining Google and OpenAI in AI Translation
超越谷歌和OpenAI，腾讯混元登顶AI 翻译
（图片来自opentools）
Tencent has launched two groundbreaking AI translation models, Hunyuan-MT-7B and Hunyuan-MT-Chimera-7B, that have taken the global stage by storm, outperforming giants like Google and OpenAI. These 7-billion-parameter models delivered unmatched results at the prestigious WMT2025 conference, winning 30 out of 31 language pairs tested. Not only do they offer state-of-the-art performance, but they accomplish this with far fewer parameters, making them more accessible for everyday use. Supporting 33 languages, including underrepresented ones like Tibetan and Uyghur, these models are a triumph in both linguistic inclusivity and technological advancement.
腾讯推出了 Hunyuan-MT-7和 Hunyuan-MT-Chimera-7B 两款开创性的AI翻译模型，它们在全球舞台上掀起了一场风暴，超越了谷歌和 OpenAI 等巨头。两款 7B 模型在著名的2025年国际机器翻译大赛（WMT2025）中的31项测试语对中赢下30项冠军，取得了无可匹敌的成绩。它们不仅展现出最先进的性能，而且参数很少，更易于日常使用。两款模型支持 33 个语种，包括藏语和维吾尔语等少数语种，在语言包容性和技术进步方面都取得了胜利。
01
Introduction to Tencent’s AI Translation Models
腾讯 AI 翻译模型
Tencent has made a significant leap in the AI translation space by unveiling two groundbreaking models, Hunyuan-MT-7B and Hunyuan-MT-Chimera-7B. These models have been open-sourced, allowing the global AI community to explore, adapt, and deploy these cutting-edge technologies freely. The decision to open-source these models positions Tencent as a leader in AI transparency and innovation, echoing the company’s commitment to fostering open research and collaboration in the AI field. According to the announcement, these models were designed to excel in global benchmarks, notably outperforming prominent competitors such as Google Translate and OpenAI’s GPT models at the WMT2025 conference.
Hunyuan-MT-7B 和 Hunyuan-MT-Chimera-7B 两款全新模型实现了腾讯在 AI 翻译领域的重大飞跃。两款模型现已开源，供全球 AI 社区免费探索、调试和部署。模型开源的做法让腾讯成为 AI 透明度和创新的领导者，展现出公司在 AI 领域开展广泛研究与合作的决心。根据公告，两款模型从设计上就在全球基准测试中表现出色，在 WMT2025 上明显优于谷歌翻译和 OpenAI 的 GPT 模型等知名竞品。
02
Performance and Achievements at WMT2025
WMT2025 上的表现和成就
The event highlighted AI's capacity to expedite daily tasks and enhance collaboration between linguistic and technical teams. Giulia Greco shared insights on how AI analysis revealed product-level issues often mistaken for language-related concerns, demonstrating AI's ability to bridge communication gaps across disciplines.
会议内容强调，人工智能可以提高日常工作效率，加强语言和技术团队之间协作方面的能力。茱莉亚-格雷科（Giulia Greco）分享了她的见解，通过人工智能分析，原本常被误认为与语言相关的问题，实则是产品层面的系统性问题。这揭示了AI在识别跨领域沟通障碍方面的能力，能够有效弥合不同学科间的信息鸿沟
Addressing AI's role in improving code localizability, Oleksandr Pysaryuk emphasized how its capabilities enable developers to implement more effective internationalization practices. This integration not only facilitates smoother translations but also enhances the adaptability of digital products worldwide.
在谈到人工智能在提高代码本地化方面的作用时，奥莱克桑德-皮萨留克（Oleksandr Pysaryuk）强调了人工智能的能力如何使开发人员能够实现更有效的国际化实践。这种技术与人工的结合不仅有助于使翻译过程更加丝滑，还能增强数字产品在全球范围内的适应性。
03
Performance and Achievements at WMT2025
WMT2025 上的表现和成就
The two models, Hunyuan-MT-7B and Hunyuan-MT-Chimera-7B, not only outpaced competitors like Google Translate and OpenAI but secured victories in an impressive 30 out of 31 language pairs. This performance underscores Tencent’s strategic emphasis on creating efficient, high-performing AI models. Each victory at the Workshop on Machine Translation (WMT) 2025 represents the converging excellence in both technical innovation and practical application, setting a new standard in AI-driven language translation capabilities.
Hunyuan-MT-7B 和 Hunyuan-MT-Chimera-7B 不仅超越了谷歌翻译和 OpenAI 等竞争对手，更在31个语言对中赢下30个语言对的胜利，令人印象深刻。这一表现凸显了腾讯对高效、高性能 AI 模型的战略重视。WMT2025 上的每一次问鼎都代表着技术创新和实际应用的卓越融合，树立了 AI 驱动语言翻译能力的新标准。
Language coverage has been one of Tencent’s standout achievements. With support spanning 33 languages, including several lesser-digitized ones such as Tibetan, Kazakh, and Uyghur, the models illustrate a commitment to linguistic inclusivity. By accommodating such languages, Tencent’s models contribute significantly to the preservation of linguistic diversity, promoting a more inclusive digital ecosystem. This strategy not only empowers underrepresented communities but also aligns with growing global trends towards inclusivity in AI, as noted by The Decoder.
语言广度：腾讯的优秀成就之一。两款模型支持 33 种语言，包括藏语、哈萨克语和维吾尔语等几种数字化程度较低的语言，体现了对语言包容性的坚持。这样的广度使得腾讯的模型极大地促进了语言多样性，推动了更具包容性的数字生态系统。正如科技新闻媒体 The Decoder 所指出的那样，这一战略不仅为少数群体赋能，而且与 AI 领域日益增长的全球包容性这一趋势相一致。
The approach to training these models is another innovation that contributes to their success. Tencent attributed their performance to a comprehensive training methodology that integrates dataset curation, continual pre-training, multiple fine-tuning phases, and reinforcement learning. As reported by Gigazine, this approach ensures that models remain accurate and efficient, tackling complex language translation tasks with precision. The careful preparation and rigorous training underpin the models’ performance, empowering them to handle the nuances of language with greater competence than their larger counterparts.
训练方式：又一项助其成功的创新。腾讯将模型的表现归功于一套全方位的训练方法，该方法整合了数据集处理、持续预训练、多微调阶段和强化学习。据日本网络媒体 Gigazine 报道，该方法让模型保持准确和高效，能精确地处理复杂的语言翻译任务。精心的准备和严格的训练为模型奠定了性能基础，使其比参数更大的模型更有能力处理语言的细微差别。
04
Economic, Social, and Political Implications
经济、社会和政治影响
Tencent’s breakthrough in machine translation not only showcases technological prowess but also heralds significant implications across economic, social, and political spheres. Economically, open-sourcing cutting-edge AI models like Hunyuan-MT-7B democratizes access to high-quality translation technology. Businesses globally can now leverage these models to enhance multilingual support, entering new markets without the heavy financial burden traditionally associated with accessing such technology. This move could stimulate a wave of innovation in fields requiring real-time translation, such as international customer service, tourism, and e-commerce, potentially boosting economic growth in technology sectors worldwide. The competition posed by Tencent’s models also pressures giants like Google and OpenAI to innovate further, potentially leading to better services and more competitive pricing for consumers.
腾讯在机器翻译领域的突破不仅展示了技术实力，也预示着在经济、社会和政治领域的重大影响。从经济角度看，Hunyuan-MT-7B 这样的开源、尖端的 AI 模型，可以让高质量翻译技术传播更广。现在，全球企业可以采用这些模型，在加强多语言支持、打入新的市场的同时，无需像过去一样在获取技术的同时承担巨大的财务压力。此举或将在跨国客服、旅游和电子商务等需要实时翻译的领域中掀起创新浪潮，促进全球技术领域经济增长。腾讯的模型带来的竞争压力也迫使谷歌和 OpenAI 等巨头进一步创新，从而为消费者提供更好的服务和更具竞争力的价格。
The economic implications of Tencent’s achievements with AI translation technology are profound. By rendering state-of-the-art translation capabilities operable on consumer-grade hardware, Tencent democratizes access to advanced AI tools. This enables smaller businesses and researchers, who may lack vast computing resources, to leverage cutting-edge translation technology, driving innovation in various industries such as e-commerce, international business, and multilingual customer support. The open-source nature of these models also engenders a collaborative environment where ongoing improvements and adaptations are possible, thus fostering a thriving ecosystem that benefits from shared advancements and communal knowledge according to The Decoder.
腾讯在 AI 翻译技术方面取得的成就具有深远的经济意义。腾讯在消费级硬件上实现最先进的翻译功能，让先进的 AI 工具触达到普罗大众。这让缺乏大量计算资源的小型企业和研究人员能够利用尖端翻译技术，推动了电子商务、国际商务和多语言客户支持等各行各业的创新。据 The Decoder 报道，这些模型的开源性质还营造了协作环境，鼓励不断地改进和调整，从而构建一个繁荣的生态系统，从知识共享和共同进步中获益。
Socially and politically, Tencent’s AI translation models reflect China’s ambitions in advancing global technology leadership. As these models spotlight underrepresented languages, their development also represents an essential political tool in fortifying cultural diplomacy and global influence. By prioritizing inclusivity and diversity, these initiatives are aligned with a broader strategy of improving global communication channels and enhancing China’s technological footprint internationally. This could potentially influence geopolitical dynamics in technology governance and international collaboration frameworks, showcasing AI’s role as a bridge-builder in the global arena as highlighted by the AI Native Foundation.
在社会和政治方面，腾讯的 AI 翻译模型反映了中国推进全球技术前沿的雄心。这些模型聚焦于少数语种，它们的提升也成为加强文化外交和全球影响力的重要政治抓手。优先考虑包容性和多样性，响应了优化全球交流渠道、加强中国在全球的技术影响力这一更广泛的战略目标。这或许会影响技术治理和国际合作框架下的地缘政治动态，正如人工智能原生基金会（AI Native Foundation）所强调的那样，展现 AI 在全球舞台上的搭桥者作用。
特别说明：本文内容选自opentools官网，仅供学习交流使用，如有侵权请后台联系小编删除。
添加助教
即可进入本号粉丝群
获取最新资讯~
- END -
摘译编辑：钱彦丰
推文编辑：李亚珂
指导老师：梁晨
项目统筹：武娇阳
▶ 国际翻译动态
| 翻译公司篇 | TransPerfect简介
| 翻译公司篇 | 全球第2名 RWS如文思
| 翻译公司篇 | “收购狂魔”Keywords Studios
| 咨询机构篇 | Nimdzi Insights简介
| 咨询机构篇 | Slator 简介
| 咨询机构篇 | CSA Research 简介
| 行业机构篇 | 国际翻译家联盟FIT
| 行业机构篇 | 美国翻译协会ATA
| 行业机构篇 | 加拿大联邦翻译局 Canada's Translation Bureau
| 翻译院校篇 | 明德大学蒙特雷国际研究学院（MIIS）
| 翻译院校篇 | 格拉斯哥大学
| 翻译院校篇 | 埃塞克斯大学
| 热点追踪 | ChatGPT的伦理问题（上）
| 热点追踪 | ChatGPT的伦理问题（下）
欢迎大家点赞关注，支持我们~
页:
[1]