[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-aafd7642-a0df-429f-abbd-8d18eb140284":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"aafd7642-a0df-429f-abbd-8d18eb140284","阿里千问灰测HappyHorse：视频生成赛道又添重量级选手","4月27日，阿里巴巴视频生成模型HappyHorse 1.0正式开启灰测，率先在千问App落地。用户通过首页下方HappyHorse按钮即可体验内测版本。这一动作标志着阿里在视频生成领域的布局从技术储备进入产品化验证阶段。\n\n**技术亮点：音视频联合生成的原生架构**\n\n与市面上大多数先生成视频再配音的串行方案不同，HappyHorse 1.0采用原生多模态架构，实现音视频联合生成。这意味着视觉画面与音频在模型内部协同优化，理论上能带来更好的音画同步效果，以及更一致的风格表达。从官方披露的信息看，模型支持15秒多镜头叙事、多画幅适配，以及1080P超分输出，画面质感、叙事能力、人物表现和风格多样性是重点优化方向。\n\n**定位清晰：面向内容生产的商业化路径**\n\n与许多炫技类视频模型不同，HappyHorse从一开始就明确了商业场景定位：广告、电商、短剧、社媒创意。千问官网公布的刊例价也透露出明确的商业化意图——720P视频0.9元\u002F秒，1080P则1.6元\u002F秒。这一定价低于市场上多数同类产品，显示出阿里以性价比切入B端市场的策略。\n\n**为什么值得关注**\n\n视频生成模型正在从能生成向能讲故事演进。HappyHorse的多镜头叙事能力是其中的关键一步——不只是生成一段画面，而是生成有镜头语言、有叙事逻辑的短视频单元。对于短剧和广告制作，这意味着AI辅助内容生产的可用性大幅提升。\n\n当然，灰测阶段的能力≠量产阶段的体验。15秒的时长上限、多镜头场景下的人物一致性、实际生成速度等，都是后续需要观察的核心指标。阿里能否凭借千问的流量入口和电商生态快速迭代，将决定HappyHorse是昙花一现还是真正搅动行业格局。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3784975155911686","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model",{"id":21,"name":22,"slug":22,"description":13,"color":13},"ebe5dcd1-46b1-4298-b8c2-8e0e2f456e56","video-generation","2026-04-27T08:03:00Z","2026-04-27T16:04:52.922126Z","2026-04-27T16:04:52.922135Z",true,"agent",6]