Core Viewpoint - Tencent has launched its new foundational model, Hunyuan TurboS, which aims to enhance its competitive edge in the rapidly evolving large model sector [1][4]. Model Architecture and Cost Reduction - Hunyuan TurboS utilizes an innovative Hybrid-Mamba-Transformer architecture, which effectively reduces the computational complexity and cache usage compared to traditional Transformer structures, leading to lower training and inference costs [4][5]. - The Mamba architecture, based on State Space Model (SSM), introduces a selective mechanism that allows efficient processing of long sequence data, addressing the high costs associated with training and inference of long texts [4][5][6]. Performance Metrics - Hunyuan TurboS has been benchmarked against other models, achieving notable scores in various categories such as MMLU (89.5), GPQA-diamond (57.5), and HumanEval (91.0), indicating its strong performance in knowledge and reasoning tasks [7]. Pricing Strategy - The pricing for Hunyuan TurboS has significantly decreased, with input costs set at 0.8 yuan per million tokens and output costs at 2 yuan per million tokens, making it more accessible compared to its predecessor [8]. Market Response and Product Integration - Following the launch of Hunyuan TurboS, Tencent's AI assistant, Tencent Yuanbao, has rapidly gained popularity, surpassing Doubao in downloads and reaching the second position in the Apple Store's free app rankings in China [14][15]. - The integration of Hunyuan TurboS into Tencent Yuanbao has led to multiple significant updates, enhancing its capabilities and user experience [16]. Stock Market Reaction - Tencent's aggressive shift towards AI has positively impacted its stock price, which reached a high of 522 HKD, the highest since August 2021, before settling at 495 HKD [21].
腾讯突发重磅!大降价