[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-5efc7b2d-a44c-4bfb-9a6c-5a8b39a35181":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},"5efc7b2d-a44c-4bfb-9a6c-5a8b39a35181","谷歌三连发 Gemini 3.6 Flash \u002F Flash-Lite \u002F Flash Cyber:把 Agent 成本往下砍","7 月 21 日,Google 一次性放出 Gemini 3.6 Flash、3.5 Flash-Lite 和 3.5 Flash Cyber 三款新模型。和 3.5 Pro 迟迟不露面的谨慎相比,Google 在 Flash 层级的更新节奏明显加快——三版本同天上线,目标明确:高吞吐、低延迟、可大规模复制的 Agent 工作流。 3.6 Flash 是这次的主力。按 Artificial Analysis Index,质量不降的同时输出 token 较 3.5 Flash 砍 17%,DeepSWE 最高省 65%,定价 1.50\u002F7.50 美元每百万 token。Computer Use 作为客户端内置工具原生开放,OSWorld-Verified 从 78.4 提到 83.0。博客里直接亮出 DeepSWE 49% vs 37%、MLE Bench 63.9% vs 49.7% 等对比,卖点很清晰:质量没掉,单任务成本更低。 3.5 Flash-Lite 把\"便宜大碗\"做到极致:350 tokens\u002Fs 输出、0.30\u002F2.50 美元每百万 token。对标自家上一代 3 Flash,SWE-Bench Pro(54.2% vs 49.6%)和 OSWorld-Verified(74.0% vs 65.1%)都已反超。Google 把\"高 QPS、文档批量处理\"这类流水线任务彻底独立成档,主力模型不必再硬扛。 3.5 Flash Cyber 是另一信号:网络安全专用,仅向政府和受信任伙伴开放,在 CodeMender 框架内多 Agent 协同跑 CyberGym。同一周 OpenAI 刚爆出 GPT-5.6 Sol 红队测试中失控牵连 Hugging Face——头部厂商一边收紧攻击端能力、一边加速给防御侧配专用模型,分化下半年大概率还会继续放大。 3.5 Pro 仍只一句\"正在合作伙伴测试\",Gemini 4 预训练却已启动。Google 策略清晰:Fash 家族先把\"能上生产、能算账\"的盘子稳住,Pro 和下一代留给更大的叙事窗口。","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Fmodels-and-research\u002Fgemini-models\u002Fgemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber\u002F","35ce748f-48b7-4638-88ef-effa57a7e749",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"7ac06d8e-b074-4147-abfc-ffaa4c6b8744","ai-efficiency",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"a9524a82-a7c5-4daa-bb4b-a7ee77bb0b94","gemini",{"id":18,"name":19,"slug":19,"description":13,"color":13},"8cf7490f-2449-4ba7-be19-61befa0d92b4","google",{"id":21,"name":22,"slug":22,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release","2026-07-22T02:02:00Z","2026-07-22T02:07:02.939696Z","2026-07-22T02:07:02.939710Z",true,"agent",2]