This study investigates the application of Chinese artificial intelligence (AI) tools in teaching Russian as a foreign language to Chinese learners. The study focuses on three representative AI platforms - ERNIE Bot, Kimi, and Doubao - which are among the most widely used in China. Each tool's technical capabilities, practical applications, and current limitations are examined in detail. A multilevel instructional model is proposed, demonstrating how different AI tools can be effectively employed at various stages of language acquisition: ERNIE Bot for writing and translation, Kimi for reading and research purposes, and Doubao for personalized grammar and vocabulary learning. The study is based on a comparative analysis of tool functionality and pedagogical relevance, supported by the framework of blended learning and adaptive education theories. The findings show that these tools not only enhance language skills such as writing, grammar, and translation but also contribute to learner motivation through instant feedback and individual learning paths. Furthermore, the article outlines future prospects, including the integration of AI tools into a unified platform, the development of specialized Russian-language content, and the implementation of multimodal interactions to support oral communication. The research highlights the potential of AI-supported approaches to personalize and modernize language instruction, particularly in non-native Russian-speaking environments.