{
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  "title": "Gemini 3.5 Flash-Lite · Relaties",
  "description": "Google DeepMind 于 2026 年 7 月 21 日 发布的 Gemini 3.5 Flash-Lite。",
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    "summary": "Google DeepMind 于 2026 年 7 月 21 日 发布的 Gemini 3.5 Flash-Lite。",
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        "id": "s1",
        "title": "Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber",
        "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/"
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        "title": "Gemini 3.5 Flash-Lite - Model Card — Google DeepMind",
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        "title": "Gemini 3.5 Flash-Lite — Google AI for Developers",
        "url": "https://ai.google.dev/gemini-api/docs/models/gemini-3.5-flash-lite"
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        "title": "Model versions and lifecycle — Google Cloud Gemini Enterprise Agent Platform",
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    "createdAt": "2026-11-11T13:45:24+08:00",
    "updatedAt": "2026-11-11T13:45:24+08:00",
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    "body": "## 发布背景\n\n[[work_gemini_3_5_flash|Gemini 3.5 Flash]]-Lite 是 [[organization_google_deepmind|Google DeepMind]] 于 2026 年 7 月 21 日 发布的 Gemini 模型[^s1]。官方发布日期为 2026 年 7 月 21 日，9 月 15 日的说法与官方博客、模型卡及 Google Cloud 生命周期记录不符。[^s1]\n\n## 定价与获取\n\n每百万 token 输入 0.30 美元、输出 2.50 美元[^s1]。API 标识为 gemini-3.5-flash-lite[^s1]。\n\n## 性能表现\n\n以下均为 Google DeepMind 在发布公告与技术报告中公布的厂商自报成绩，尚未经独立复现：\n\n- Terminal-Bench 2.1：54.0%，高于前代 Gemini 3.1 Flash-Lite 的 31.0%（厂商自报）[^s1]。\n- GDPval-AA v2：1140 Elo，高于前代 Gemini 3.1 Flash-Lite 的 642 Elo（厂商自报）[^s1]。\n- GDM-MRCR v2 (8-needle, 128k)：72.2%，高于前代 Gemini 3.1 Flash-Lite 的 60.1%（厂商自报）[^s1]。\n- SWE-Bench Pro：54.2%，高于前代 Gemini 3.1 Flash-Lite 的 38.3%（厂商自报）[^s1]。\n\n## 主要特点\n\n上下文窗口 1,048,576 token，最大输出 65,536 token[^s1]。\n\n官方称其为 3.5 系列最快模型，Artificial Analysis 测得约每秒 350 个输出 token，面向高吞吐子代理与文档处理等任务[^s1]。\n\n知识截止为 2026 年 3 月（部分领域为 2025 年 1 月），基于 [[work_gemini_3_1_flash_lite|Gemini 3.1 Flash-Lite]] 改进而来[^s1]。\n\n## 定位\n\n它是 Gemini 3.1 Flash-Lite 的后继者、3.5 系列中最快最便宜的轻量模型，同日发布的 Gemini 3.6 Flash 为其同代主力兄弟模型，后续 Flash 线由 Gemini 3.7 Flash 与 3.8 Flash 接续。截至 2026 年 11 月，该模型仍在提供。",
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