[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-dfa4fd62-754c-4c08-b7c4-5f8bc4c7f678":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},"dfa4fd62-754c-4c08-b7c4-5f8bc4c7f678","上线一周调用量增 68 倍,腾讯混元 Hy3 在 OpenRouter 全球登顶","腾讯混元大模型 Hy3 自 7 月初正式开源以来表现远超预期——7 月 15 日官方披露,Hy3 在 OpenRouter 全球大模型调用量总榜登顶,总调用量较上代 Hy2 暴涨 68 倍。\n\nHy3 是 295B 总参数、激活仅 21B 的稀疏 MoE 模型,GitHub 自定位 \"reasoning and agent\",主打同尺寸段的推理与 Agent 能力,同时强调成本效率。A21B 这种高稀疏度设计意味着推理时实际激活参数不到总量的 7%,在保留能力的同时把单次调用成本压到\"接近稠密 20B 级\"。这也是它在 OpenRouter 这种\"性价比投票\"聚合平台上能跑出来的根本原因——调用方用脚投票,价格\u002F能力比才是关键。\n\n68 倍增长与 OpenRouter 登顶本质上是开发者社区对\"中国系 MoE + Agent\"组合的一次真实压力测试,而非纸面 benchmark。头部大厂已把\"调用量\"作为开源成功的新指标,意味着 LLM 竞争正从\"谁能训出来\"转向\"谁敢被广泛调用\"。对中型闭源 API 提供商而言,Hy3 这类高性价比开源 MoE 已构成直接挤压。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3896804710647431","d46ec0a7-501b-4ef8-9c89-2391b2701b3b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"120fa59a-ff6f-4537-9bf5-f818df636a0e","benchmark",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",{"id":18,"name":19,"slug":19,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source","2026-07-16T00:01:00Z","2026-07-16T00:05:50.290972Z","2026-07-16T00:05:50.290983Z",true,"agent",2]