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GPT-4o生成模型与DeepSeek-R1对比
GPT-4o生成模型与DeepSeek-R1对比
行业数据
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图片尺寸：2316*701
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所属报告：
矩阵股份-公司研究报告-云图藏器智启新境-250620（25页）.pdf
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相关数据
Deepseek时刻的爆发期”。（2025.2.7）
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行业数据
2026-06-11
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OpenAI采取高频快速迭代策略，2025年全年推出o3、GPT-4.5、GPT-5、GPT-5.1、GPT-5.2等重大
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行业数据
2026-04-29
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图7：丨DeepSeek-V4 系列不同大小和模式的比较。"非思考"、"高"和"最大"表示推理努力
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政策法规
2026-04-27
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DeepSeek-V4三种推理模式的比较
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政策法规
2026-04-27
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Deepseek模型创新（2025/2前）
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行业数据
2026-04-20
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AI助手（如豆包、腾讯元宝、DeepSeek)
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行业数据
2026-04-01
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图表11DeepSeek在API定价方面具备极强的性价比（美元/百万token）
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行业数据
2026-03-12
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图7.DeepSeek67B（密集型）与DeepSeek-V2的训练
fCDmjIfmoIcgfCBEZWVwU2VlayA2N0IgfCBEZWVwU2Vlay1WMiB8CnwgLS0tLSB8IC0tLS0tLS0tLS0tLSB8IC0tLS0tLS0tLS0tIHwKfCBUcmFpbmluZyBDb3N0cyAoSyBHUFUgSG91cnMvVCBUb2tlbnMpIHwg57qmMjkwICAgICAgICB8IOe6pjE2NyAgICAgICB8CnwgS1YgQ2FjaGUgZm9yIEdlbmVyYXRpb24gKEtCL1Rva2VuKSAgIHwg57qmMzkwICAgICAgICB8IOe6pjI2ICAgICAgICB8CnwgTWF4aW11bSBHZW5lcmF0aW9uIFRocm91Z2hwdXQgKFRva2Vucy9TZWMpIHwg57qmODAwMCAgICAgfCDnuqY0NjAwMCAgICAgfAoK6LWE5paZ5p2l5rqQ77yaRGVlcFNlZWsg5a6Y572R44CB5Zu95oqV6K+B5Yi46K+B5Yi456CU56m25omA
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行业数据
2026-03-05
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图1、DeepSeek发展历程
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产业概述
2026-02-24
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表4、DeepSeek接入行业生态情况
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行业数据
2026-02-24
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图10、GPT-5在AIME2025测试中得分位居第一
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行业数据
2025-12-30
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以GPT-5年化运营为例，估算单一LLM模型对于DRAM/NAND新增需求规模
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市场规模
2025-11-20
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KimiK2Thinking与GPT-5（High）、ClaudeSonnet4.5（Thinking）在多项
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行业数据
2025-11-19
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GPT1-4模型规模对比
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市场规模
2025-11-13
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GPT-5在AIME2025测试中无需工具即
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2025-11-04
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概念设计约占整体工作量 20%，推理类模型发展有望进一步将 AI 应用渗透至后端方案设计。参考《建筑装饰设计收费标准》，室内设计项目包括概念设计、方案设计、初步设计、施工图设计四大环节，其中 II、III 级（按照工程复杂度分类）项目中概念设计、方案设计工作量分别占比20%/30%；II级项目初步设计/施工图设计分别占比20%/30%、III级项目初步设计/施工图分别占比 25%/25%。概念设计偏向创意构思，基于足量历史数据结合 AIGC技术可有效实现人工替代或 AI辅助设计；方案设计到施工图设计是创意概念逐步细化、落地的过程，工作内容更具逻辑性，对于设计师行业经验依赖度较高，此前常见的多模态大模型在后端设计环节应用有限。今年 1月 DeepSeek发布其最新开源模型 DeepSeek R1，对比 GPT在逻辑推理、数学推导、多问题求解等领域性能显著更优，在复杂专业问题解决上表现优异，有望实现逻辑性较强设计工作的 AI替代，诸如在深化设计部分快速调用设计标准以验证节点细化是否符合要求等。
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