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The Qwen-MT machine translation model is officially released. Qwen-MT is based on the powerful Qwen 3 model, and has been trained on a massive amount of multilingual and translation data. It combines reinforcement learning technology to significantly improve the accuracy and fluency of translation results. Developers can experience its fast and accurate translation capabilities directly through the Qwen API (qwen-mt-turbo). The core highlights of Qwen-MT include supporting bidirectional translation between 92 languages, covering more than 95% of the global population, and meeting a wide range of language communication needs.

DeepSeek V2.5 demonstrates exceptional performance in the field of artificial intelligence, particularly in code generation and chat models. Through comparative testing with GPT-4, it has achieved significant improvements across multiple metrics, including win rates, MT-Bench, and AlignBench scores. In terms of code generation capabilities, DeepSeek V2.5 achieved a HumanEval score of 89% and a LiveCodeBench score of 41%, showcasing its ability to generate high-quality, executable code.