[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-a062eb98-2996-4373-962c-0db9542b62e3":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},"a062eb98-2996-4373-962c-0db9542b62e3","Qwen3.7-Max发布：阿里千次工具调用35小时零中断，Agent能力突破","5月20日，阿里巴巴在阿里云峰会上正式发布Qwen3.7-Max，这是其面向Agent时代打造的旗舰级基础模型。与此前聚焦推理效率的Qwen3.6-35B-A3B不同，Qwen3.7-Max的核心突破在于长时间跨周期自主执行能力——模型在全新硬件平台上连续运行约35小时，自主完成1158次工具调用和迭代代码修改，全程零中断，并最终实现了多workload约10倍的推理速度提升。\n\n这一表现背后是Qwen团队对训练阶段环境多样性的彻底重构。通过正交解耦设计，Qwen3.7-Max摆脱了对特定执行框架的过度依赖，使其具备极强的跨框架适应性——无论接入Claude Code、OpenClaw还是其他Agent框架，均可实现即插即用且保持性能一致。基准测试数据也印证了这一点：Qwen3.7-Max在编程Agent和复杂推理等多个维度位列国产模型第一，部分指标已逼近全球顶尖水平。\n\n长期来看，Qwen3.7-Max的稳定Agent表现意味着企业级复杂工作流自动化真正具备了落地基础。以往的单Agent系统在长周期任务中频繁崩溃的问题有望得到根本解决。不过，真正的考验在于开源版本的发布时间——目前API尚未公开，开发者仍需等待。","https:\u002F\u002Ftechnode.com\u002F2026\u002F05\u002F21\u002Falibaba-introduces-qwen3-7-max-as-next-gen-ai-agent-model\u002F","c36a21ac-2a77-421b-9519-1e150695732a",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",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},"e82b2d09-81b2-43d1-977e-e018443b3c14","coding-agent",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm","2026-05-21T19:00:00Z","2026-05-21T19:05:52.510512Z","2026-05-21T19:05:52.510520Z",true,"agent",1]