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  "title": "Gemini 2.0 Flash",
  "description": "Google DeepMind 于 2025 年 1 月 30 日 发布的 Gemini 2.0 Flash。",
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    "summary": "Google DeepMind 于 2025 年 1 月 30 日 发布的 Gemini 2.0 Flash。",
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        "title": "Google introduces Gemini 2.0: A new AI model for the agentic era",
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        "id": "s2",
        "title": "The Gemini app is now powered by Gemini 2.0 Flash",
        "url": "https://blog.google/feed/gemini-app-model-update-january-2025/"
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        "title": "Gemini API deprecations",
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        "title": "Gemini (language model) - Wikipedia",
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    "body": "## 发布背景\n\nGemini 2.0 Flash 是 [[organization_google_deepmind|Google DeepMind]] 于 2025 年 1 月 30 日 发布的 Gemini 模型[^s1]。实验版于 2024 年 12 月 11 日 发布，2025 年 1 月 30 日 成为 Gemini 应用的默认模型，开发者侧全面可用则在 2025 年 2 月 5 日 宣布。[^s1]\n\n## 定价与获取\n\n每百万 token 输入 0.10 美元、输出 0.40 美元（历史定价，模型已停用）[^s1]。API 标识为 gemini-2.0-flash[^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- MMLU-Pro：76.4%，厂商报告；高于 [[work_gemini_1_5_pro|Gemini 1.5 Pro]] 的 75.8%[^s1]。\n- MATH：89.7%，厂商报告；高于 Gemini 1.5 Pro[^s1]。\n- MMMU：70.7%，厂商报告；多模态理解基准[^s1]。\n- Natural2Code：92.9%，厂商报告；高于 Gemini 1.5 Pro 的 85.4%[^s1]。\n\n## 主要特点\n\n上下文窗口 1,048,576 token，最大输出 8,192 token[^s1]。\n\n支持图像、视频、音频等多模态输入与原生图像、语音输出及原生工具调用，是面向智能体时代的工作马模型[^s1]。\n\n已于 2026 年 6 月 1 日 停用，官方建议迁移至 Gemini 2.5 Flash[^s3]。\n\n## 定位\n\n接替 [[work_gemini_1_5_flash|Gemini 1.5 Flash]] 成为 Gemini 默认的高效工作马模型，后由 Gemini 2.5 Flash 接替。该模型已于 2026 年 6 月 1 日退役。",
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