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Preferred Networks has released PLaMo 3 Translate 31B, expanding language support from Japanese and English in the previous version to 53 languages and adding an online meeting translation mode covering 15 languages. PFN says its average score across four translation benchmarks exceeds those of GPT-6.1 Sol and GPT-6 Astra; input costs 14 yen per 100,000 characters.
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IT之家 10 月 8 日消息，日本企业 Preferred Networks (PFN) 当地时间昨日发布了其精于日语同时兼顾其它语言的翻译模型 PLaMo 3 Translate 31B。该模型完全由日本自主研发，训练数据中日语占比约为 30%。
该模型基于 PLaMo 3 基础模型，支持语言数量从上代的 2 种（日语与英语）扩展至 53 种，引入覆盖 15 种语言的在线会议翻译模式。
PFN 宣称其 PLaMo 3 Translate 31B 模型在四项翻译基准测试中的平均分数优于 OpenAI 的 GPT-6.1 Sol 和 GPT-6 Astra。而凭借针对日语的高效处理，该模型成本也仅有每 10 万字符输入 14 日元（IT之家注：现汇率约合 0.59 元人民币），显著低于竞品。