除夕迎「源神」？Qwen3.5以小胜大，捅破性价比天花板，大模型竞赛下半场开始了

Core Viewpoint - The article highlights the launch of Qwen3.5-Plus, emphasizing its dual strengths of being both powerful and cost-effective, marking a significant advancement in the open-source AI model landscape [3][8]. Group 1: Model Performance - Qwen3.5-Plus has achieved top performance in various core capabilities such as multimodal understanding, complex reasoning, programming, and agent intelligence, surpassing many leading closed-source models like GPT-5.2 and Gemini-3-pro [3][8]. - The model operates with 397 billion parameters, significantly fewer than its predecessor Qwen3-Max, yet it outperforms it, demonstrating a new paradigm of efficiency in AI model design [7][16]. Group 2: Cost Efficiency - The pricing of Qwen3.5-Plus is notably low at 0.8 yuan per million tokens, making it 18 times cheaper than its competitor Gemini-3-pro, which reflects a strategic pricing model driven by technological advancements rather than cost-cutting [7][8]. - The deployment costs for Qwen3.5-Plus are reduced by 60%, and its inference throughput has increased by 19 times, showcasing its efficiency and affordability [7][17]. Group 3: Technological Innovations - Qwen3.5-Plus incorporates several architectural innovations, including a hybrid attention mechanism that optimizes resource allocation based on information weight, leading to improved precision and efficiency [18]. - The model employs a sparse MoE (Mixture of Experts) architecture, activating only 17 billion parameters during inference, which allows it to utilize less than 5% of its computational power while accessing a vast knowledge base [18]. - It features native multimodal capabilities, integrating text and visual data from the outset, which enhances its understanding and reduces information loss during processing [21][22]. Group 4: Market Impact - The introduction of Qwen3.5-Plus signifies a shift in the AI landscape, where the focus is not solely on the most powerful models but on making advanced AI capabilities accessible and usable for a broader audience [25][26]. - The model's release is expected to lower barriers for businesses looking to adopt AI technologies, potentially transforming them into foundational tools within various industries [25][26].