Today, Tencent officially announced the launch of its latest AI model Hunyuan-TurboS on the X platform. This product, known as the "first super-large Hybrid-Transformer-Mamba MoE model", quickly sparked heated discussions in the global technology circle. According to the information disclosed by X users, Hunyuan-TurboS successfully overcomes the bottlenecks of traditional pure Transformer models in long text training and reasoning by integrating Mamba's efficient long-sequence processing capabilities and Transformer's powerful context understanding capabilities, showing remarkable performance breakthroughs.
According to reports, traditional Transformer models often face inefficient and high cost challenges when dealing with long text due to O(N²) complexity and KV-Cache problems. Hunyuan-TurboS cleverly combines two major technical advantages, not only greatly improving computing efficiency, but also surpasses the industry's top models in a number of key benchmark tests. X user bayrashad pointed out that the model beat GPT-4o-0806, DeepSeek-V3 and multiple open source models in mathematics, reasoning and alignment, while also showing strong competitiveness in knowledge areas, including MMLU-Pro benchmarks. In addition, its inference cost is only one-seventh of that of the previous Turbo models, showing extremely high cost-effectiveness.
Hunyuan-TurboS's success is inseparable from Tencent's comprehensive optimization in the post-training stage. According to a post by csdognin on X, the model integrates the "slow thinking" mechanism, which significantly improves math, programming and reasoning capabilities; through refined instruction adjustments, it further enhances alignment and intelligent proxy execution efficiency; at the same time, optimization for English training has also taken its general performance to a higher level. It is more worth mentioning that Tencent has upgraded the reward system for Hunyuan-TurboS, adopting rules-based scoring, consistency verification and code sandbox feedback mechanisms to ensure higher accuracy in the field of STEM (science, technology, engineering and mathematics). In addition, the introduction of a generative reward mechanism has effectively improved the quality and creativity of Q&A, while reducing the risk of reward manipulation.
The industry responded enthusiastically to the launch of Hunyuan-TurboS. X user koltregaskes calls it a "symbol of the future of AI", while ANDREW_FDWT emphasizes the revolutionary significance of its technological innovation in long text processing. Some analysts pointed out that the debut of Hunyuan-TurboS not only consolidates Tencent’s position in the global AI competition, but also sets a new benchmark for the development of efficient and low-cost AI models.
At present, Tencent has not announced the specific open source plan or commercial deployment details of Hunyuan-TurboS, but its excellent performance is enough to arouse industry expectations. As csdognin said in his post: "The future of AI is here!" The advent of this model will undoubtedly push artificial intelligence technology to new heights and bring more possibilities to academic research and industrial applications.