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  "title": "Gemini 1.5 Pro",
  "description": "Google DeepMind 于 2024 年 2 月 15 日 发布的 Gemini 1.5 Pro。",
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    "summary": "Google DeepMind 于 2024 年 2 月 15 日 发布的 Gemini 1.5 Pro。",
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        "title": "Introducing Gemini 1.5, Google's next-generation AI model",
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        "title": "Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (technical report)",
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        "id": "s3",
        "title": "Model versions and lifecycle | Generative AI on Vertex AI",
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    "body": "## 发布背景\n\nGemini 1.5 Pro 是 [[organization_google_deepmind|Google DeepMind]] 于 2024 年 2 月 15 日 发布的 Gemini 模型[^s1]。首个实现百万 token 上下文的 Gemini 模型，发布时标准上下文为 128,000 token、私测可达 1,000,000 token，后期扩展至 2,097,152 token。[^s1]\n\n## 定价与获取\n\n每百万 token 输入 1.25 美元、输出 5.00 美元（提示不超过 128K token 时；超过则为输入 2.50 美元、输出 10.00 美元）[^s1]。API 标识为 gemini-1.5-pro[^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：81.9%，厂商自报，5-shot；高于 Gemini 1.0 Pro，略低于 Gemini 1.0 Ultra[^s1]。\n- GSM8K：91.7%，厂商自报，11-shot；高于 Gemini 1.0 Ultra 和 Gemini 1.0 Pro[^s1]。\n- MATH：58.5%，厂商自报，4-shot；高于 Gemini 1.0 Ultra 的 53.2% 和 1.0 Pro 的 32.6%[^s1]。\n- HumanEval：71.9%，厂商自报，0-shot；低于 Gemini 1.0 Ultra 的 74.4%，高于 1.0 Pro 的 67.7%[^s1]。\n\n## 主要特点\n\n上下文窗口 2,097,152 token，最大输出 8,192 token[^s1]。\n\n采用稀疏混合专家（MoE）架构，以中型模型达到与 [[work_gemini_1_0_ultra|Gemini 1.0 Ultra]] 相近的水平且训练与 serving 计算更少[^s1]。\n\nGemini-1.5-Pro-002 于 2024 年 9 月 24 日 发布，是同一模型的快照更新而非独立条目，其 Vertex AI 版本于 2025 年 9 月 24 日 退役[^s3]。\n\n## 定位\n\n接替 [[work_gemini_1_0_pro|Gemini 1.0 Pro]] 的中端主力模型，与 1.0 Ultra 定位相近，属 Gemini 1.5 世代，后被 Gemini 2.0 与 2.5 Pro 取代。该模型已于 2025 年 9 月 29 日退役。",
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