国内市场亦呈现类似逻辑。2025年上半年，中国模型即服务（MaaS）市场规模达12.9亿元，同比增长 421.2%；AI大模型解决方案市场规模达30.7亿元，同比增长122.1%。火山引擎、阿里巴巴等厂商通过分 层定价、开源模型、多模态能力升级等策略降低企业接入成本，推动行业从概念验证（PoC）阶段迈向 规模化生产。 尽管广告为短期"回血"提供了路径，但长期来看，大模型商业化仍需依赖技术突破与生态协同。中信建 投分析，原生多模态模型（如端到端架构实现文本、图像、语音、视频统一生成）将成为头部厂商的主 流方向，推动交互式AI在复杂场景落地。同时，开源生态的崛起（以DeepSeek为代表）虽降低了使用 门槛，但也加剧了同质化竞争与价格下探，监管趋严、算力供给与工程化能力将成为商业化落地的关键 约束。 在此背景下，广告成为挖掘免费用户商业价值、缓解成本压力的必然选择。中信建投分析指出，大模型 行业与传统互联网经济模式存在本质差异：移动互联网时代，用户增长可摊薄服务器、带宽等固定成 本，形成规模效应；而大模型每轮对话均需消耗独立算力资源，用户对话量增长曲线远陡峭于活跃用户 数（WAU），导致成本随用户规模扩张同步激增 ...

Core Viewpoint - The year 2025 may be a disappointing year for multimodal models, as many of them have not garnered significant attention and are still focused on enhancing text intelligence limits [1] Group 1: Multimodal Models - Many multimodal models are currently not receiving much attention and are primarily working on improving text intelligence [1] - The challenge for large models is to collect and unify multimodal information, which remains a shortcoming [1] Group 2: Human Sensory Integration - The concept of native multimodal models is compared to human sensory integration, which involves collecting visual, auditory, and tactile information [1] - The next functionality for models is to advance in the area of sensory integration, similar to how humans sometimes experience sensory coordination issues [1]