https://guijiagi.com/categories/%E6%A8%A1%E5%9E%8B%E9%80%89%E5%9E%8B/Recent content in 模型选型 on 硅基 AGI · 智能体学习与测评Hugozh-cn本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权Thu, 16 Jul 2026 11:31:00 +0800https://guijiagi.com/posts/b1-c4dac6e8/Thu, 16 Jul 2026 11:31:00 +0800https://guijiagi.com/posts/b1-c4dac6e8/系统讲解Embedding模型的选型策略、微调方法和评估指标，助力构建高质量向量检索系统https://guijiagi.com/posts/b1-a5d617e3/Thu, 16 Jul 2026 11:28:00 +0800https://guijiagi.com/posts/b1-a5d617e3/分析大模型API调用成本优化方案，涵盖模型路由、缓存策略、批处理与混合部署https://guijiagi.com/posts/b1-fc9cb559/Thu, 16 Jul 2026 11:25:00 +0800https://guijiagi.com/posts/b1-fc9cb559/系统梳理大模型评测体系，涵盖知识基准、能力评测、对齐评测与真实场景测试方法论https://guijiagi.com/posts/b1-6f0267a9/Thu, 16 Jul 2026 11:16:00 +0800https://guijiagi.com/posts/b1-6f0267a9/对比主流向量数据库的架构设计、性能特征、功能差异与选型建议https://guijiagi.com/posts/b1-4b9b3771/Thu, 16 Jul 2026 11:07:00 +0800https://guijiagi.com/posts/b1-4b9b3771/2026年开源大模型生态格局深度分析，从Llama到Qwen到DeepSeek的技术路线与选型指南https://guijiagi.com/posts/b2-eff997cf/Thu, 16 Jul 2026 10:34:00 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+0800https://guijiagi.com/posts/embedding-model-2026-chinese-retrieval-benchmark/2026年主流Embedding模型在中文检索场景的全面排行与实测对比https://guijiagi.com/posts/gemma3-review-google-open-lightweight-model/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/gemma3-review-google-open-lightweight-model/Google Gemma 3系列轻量开源模型深度评测：能力分析、场景适配与竞品对比https://guijiagi.com/posts/glm5-series-deep-evaluation-zhipu-fullstack/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/glm5-series-deep-evaluation-zhipu-fullstack/智谱GLM-5系列大模型深度评测：从基础模型到多模态、Agent的全栈能力分析https://guijiagi.com/posts/gpt55-vs-claude-opus41-vs-gemini40-2026-flagship-showdown/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/gpt55-vs-claude-opus41-vs-gemini40-2026-flagship-showdown/2026年三大旗舰大模型终极对决：GPT-5.5、Claude Opus 4.1、Gemini 4.0 全维度深度对比https://guijiagi.com/posts/mistral-large-3-review-european-ai-hope/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/mistral-large-3-review-european-ai-hope/Mistral Large 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+0800https://guijiagi.com/posts/multimodal-vision-models-2026-comprehensive-evaluation/2026年主流多模态大模型视觉理解能力全面横评，覆盖图像理解、视频理解、OCR与空间推理https://guijiagi.com/posts/open-source-llm-leaderboard-2026-midyear/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/open-source-llm-leaderboard-2026-midyear/2026年中期开源大模型综合排行榜，深度分析开源阵营与闭源模型的差距变化https://guijiagi.com/posts/reasoning-vs-general-models-o3-gpt55-deepseek-r2/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/reasoning-vs-general-models-o3-gpt55-deepseek-r2/推理模型与通用模型的深度对比：o3、GPT-5.5、DeepSeek-R2 在不同场景下的表现差异https://guijiagi.com/posts/small-model-revolution-3b-practical-deployment/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/small-model-revolution-3b-practical-deployment/3B参数级小模型的实用场景分析、性能对比与全平台部署指南https://guijiagi.com/posts/chinese-llm-20-domain-professional-test/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/chinese-llm-20-domain-professional-test/覆盖20个中文专业领域的大模型能力深度实测，含法律、医学、金融等垂直场景https://guijiagi.com/posts/opensource-llm-selection-2026/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/opensource-llm-selection-2026/2026开源大模型选型指南https://guijiagi.com/posts/agent-backend-model-selection/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/agent-backend-model-selection/Agent后端模型选型建议https://guijiagi.com/posts/code-gen-model-comparison/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/code-gen-model-comparison/代码生成模型对比选型https://guijiagi.com/posts/multimodal-model-selection-guide/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/multimodal-model-selection-guide/多模态模型选型指南https://guijiagi.com/posts/function-calling-model-selection/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/function-calling-model-selection/函数调用模型选型https://guijiagi.com/posts/embedding-model-selection-guide/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/embedding-model-selection-guide/嵌入模型选型指南https://guijiagi.com/posts/lightweight-model-selection/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/lightweight-model-selection/轻量级模型部署选型https://guijiagi.com/posts/math-reasoning-model-comparison/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/math-reasoning-model-comparison/数学推理模型能力对比https://guijiagi.com/posts/reasoning-vs-general-model/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/reasoning-vs-general-model/推理模型vs通用模型选择策略https://guijiagi.com/posts/small-vs-large-model-cost/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/small-vs-large-model-cost/小模型vs大模型成本效益分析https://guijiagi.com/posts/long-text-model-comparison/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/long-text-model-comparison/长文本处理模型对比https://guijiagi.com/posts/gpt-55-%E6%B7%B1%E5%BA%A6%E8%AF%84%E6%B5%8B-%E5%A4%9A%E6%A8%A1%E6%80%81%E6%8E%A8%E7%90%86%E7%9A%84%E6%96%B0%E6%A0%87%E6%9D%86/Sat, 27 Jun 2026 00:00:00 +0800https://guijiagi.com/posts/gpt-55-%E6%B7%B1%E5%BA%A6%E8%AF%84%E6%B5%8B-%E5%A4%9A%E6%A8%A1%E6%80%81%E6%8E%A8%E7%90%86%E7%9A%84%E6%96%B0%E6%A0%87%E6%9D%86/全面评测 GPT-5.5 的推理能力、多模态表现与 Agent 构建能力，对比 GPT-5 提升幅度，分析其在实际应用中的表现https://guijiagi.com/posts/embedding-model-comparison/Fri, 26 Jun 2026 14:00:00 +0800https://guijiagi.com/posts/embedding-model-comparison/针对 2026 年主流 Embedding 模型在中文场景下的全面横评，涵盖 MTEB 基准测试与真实业务场景实测https://guijiagi.com/posts/claude-opus-41-%E5%8F%91%E5%B8%83-%E8%B6%85%E9%95%BF%E4%B8%8A%E4%B8%8B%E6%96%87%E7%9A%84%E5%B7%A5%E4%B8%9A%E7%BA%A7%E5%BA%94%E7%94%A8/Fri, 26 Jun 2026 00:00:00 +0800https://guijiagi.com/posts/claude-opus-41-%E5%8F%91%E5%B8%83-%E8%B6%85%E9%95%BF%E4%B8%8A%E4%B8%8B%E6%96%87%E7%9A%84%E5%B7%A5%E4%B8%9A%E7%BA%A7%E5%BA%94%E7%94%A8/Anthropic 发布 Claude Opus 4.1，重点提升工业级长文档处理与 Agent 可靠性，深度解析新特性与最佳实践https://guijiagi.com/posts/llm-benchmark-2026/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/llm-benchmark-2026/全面对比 2026 年主流大语言模型在 MMLU、GPQA、HumanEval、MATH 等基准测试中的表现，附实战性能分析与选型建议。https://guijiagi.com/posts/embedding-model-guide/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/embedding-model-guide/深度对比 2026 年主流 Embedding 模型：BGE-M3、E5-Mistral、OpenAI text-embedding-3、Cohere embed-v4 在 RAG、语义搜索、聚类等场景的表现与选型建议。https://guijiagi.com/posts/local-llm-deployment/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/local-llm-deployment/全面对比 2026 年四大本地 LLM 部署方案：Ollama、vLLM、LM Studio、TGI 的性能、易用性、并发能力与生产环境适用性分析。https://guijiagi.com/posts/code-model-comparison/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/code-model-comparison/深度横评 2026 年四大代码大模型：GPT-5.5-Code、Claude Code、DeepSeek-Coder-V3、Qwen2.5-Coder 在代码生成、调试、重构、代码审查等场景的实战表现。https://guijiagi.com/posts/multimodal-model-selection/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/multimodal-model-selection/全面对比 2026 年主流多模态大模型：GPT-5o、Gemini 2.0 Pro、LLaVA-1.6、Qwen-VL2、InternVL3 在图像、视频、文档理解上的表现与选型建议。https://guijiagi.com/posts/reasoning-model-deep/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/reasoning-model-deep/深度对比 2026 年四大推理模型：OpenAI o1/o3、Claude Thinking、DeepSeek-R1 在数学竞赛、逻辑推理、代码生成中的表现与思维链可读性分析。https://guijiagi.com/posts/small-model-guide/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/small-model-guide/全面对比 2026 年 7B 以下小型语言模型：Qwen2.5-7B、Phi-3.5-mini、LLaMA-3.2-3B、MiniCPM-3B 等的性能、内存占用与边缘部署方案。https://guijiagi.com/posts/chinese-llm-comparison/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/chinese-llm-comparison/深度横评 2026 年五大国产大模型在中文理解、文学创作、知识问答、逻辑推理等场景的表现，附详细评分与选型建议。https://guijiagi.com/posts/llm-model-selection-2026/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/llm-model-selection-2026/2026 年主流大语言模型全面选型指南，涵盖能力对比、API 价格、场景推荐与决策框架https://guijiagi.com/posts/embedding-model-selection/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/embedding-model-selection/Embedding 模型深度选型指南，涵盖 MTEB 排行、维度存储、多语言支持与领域微调https://guijiagi.com/posts/reranker-model-selection/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/reranker-model-selection/Reranker 模型在 RAG 中的关键角色，Bi-Encoder vs Cross-Encoder 原理与选型策略https://guijiagi.com/posts/stt-model-comparison/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/stt-model-comparison/主流语音识别模型全面对比，涵盖 WER、延迟、多语言、方言支持与标点恢复https://guijiagi.com/posts/tts-model-comparison/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/tts-model-comparison/主流 TTS 模型全面对比，涵盖自然度、延迟、成本、声音克隆与多语言支持https://guijiagi.com/posts/vision-language-model-guide/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/vision-language-model-guide/主流视觉语言模型深度对比，涵盖架构原理、OCR/图表/视频理解能力与成本延迟分析https://guijiagi.com/posts/small-model-vs-large-model/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/small-model-vs-large-model/深入分析小模型与大模型的权衡，涵盖成本、延迟、部署策略、蒸馏技术与路由方案https://guijiagi.com/posts/deepseek-model-guide/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/deepseek-model-guide/深入解析 DeepSeek-V3 与 R1 的架构设计、性能表现、成本分析与适用场景。https://guijiagi.com/posts/glm-model-guide/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/glm-model-guide/解析智谱 GLM-4 系列模型架构、视觉能力、代码模型、API 使用与部署方案。https://guijiagi.com/posts/gemma-model-guide/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/gemma-model-guide/全面解析 Google Gemma 2/3 系列架构、规格、多模态支持与部署方案。https://guijiagi.com/posts/llama-model-evolution/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/llama-model-evolution/回顾 Meta Llama 系列四代模型的架构演进、许可证变化、社区生态与部署建议。https://guijiagi.com/posts/mistral-model-guide/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/mistral-model-guide/解析 Mistral AI 的模型矩阵：从 Mistral 7B 到 Mixtral MoE，再到 Codestral 与 Mathstral。https://guijiagi.com/posts/qwen3-model-selection/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/qwen3-model-selection/全面解析 Qwen3 系列模型的架构、规格、性能与部署策略，帮助开发者选择最适合的通义千问模型。https://guijiagi.com/posts/coding-model-comparison/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/coding-model-comparison/横向对比 DeepSeek-Coder-V2、Codestral、Qwen2.5-Coder、CodeGeeX-4、StarCoder2 等主流代码模型，包含基准测试与实战评测。https://guijiagi.com/posts/vision-model-selection/Wed, 24 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/vision-model-selection/全面解析 VLM 架构演进、主流模型对比、OCR 与视频理解能力、部署成本与选型决策。https://guijiagi.com/posts/deepseek-technical-analysis/Wed, 24 Jun 2026 11:40:00 +0800https://guijiagi.com/posts/deepseek-technical-analysis/DeepSeek 系列模型的技术架构、训练方法和工程优化深度分析https://guijiagi.com/posts/deepseek-v4-%E5%AE%8C%E6%95%B4%E7%89%88%E5%8F%91%E5%B8%83-%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%96%B0%E5%B7%85%E5%B3%B0/Wed, 24 Jun 2026 00:00:00 +0800https://guijiagi.com/posts/deepseek-v4-%E5%AE%8C%E6%95%B4%E7%89%88%E5%8F%91%E5%B8%83-%E5%BC%80%E6%BA%90%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%96%B0%E5%B7%85%E5%B3%B0/DeepSeek V4 完整版正式发布，MoE 架构+1M 上下文+多头潜在注意力，深度解析技术细节与实测表现https://guijiagi.com/posts/mixture-of-experts-guide/Tue, 23 Jun 2026 16:10:00 +0800https://guijiagi.com/posts/mixture-of-experts-guide/MoE架构原理、主流模型对比和生产环境选型建议https://guijiagi.com/posts/small-model-big-impact/Tue, 23 Jun 2026 16:00:00 +0800https://guijiagi.com/posts/small-model-big-impact/7B-14B参数量模型的实际能力评测、本地部署经验和选型指南https://guijiagi.com/posts/qwen35-%E5%8F%91%E5%B8%83-%E9%98%BF%E9%87%8C%E9%80%9A%E4%B9%89%E7%9A%84%E5%85%A8%E9%9D%A2%E8%BF%9B%E5%8C%96/Tue, 23 Jun 2026 00:00:00 +0800https://guijiagi.com/posts/qwen35-%E5%8F%91%E5%B8%83-%E9%98%BF%E9%87%8C%E9%80%9A%E4%B9%89%E7%9A%84%E5%85%A8%E9%9D%A2%E8%BF%9B%E5%8C%96/阿里发布 Qwen3.5 系列，涵盖 0.8B 到 397B 六个尺寸，深度解析其 MoE 架构优化与中文能力突破https://guijiagi.com/posts/llama-4-%E7%B3%BB%E5%88%97%E5%85%A8%E9%9D%A2%E8%AF%84%E6%B5%8B-meta-%E7%9A%84%E5%BC%80%E6%BA%90%E5%8F%8D%E5%87%BB/Mon, 22 Jun 2026 00:00:00 +0800https://guijiagi.com/posts/llama-4-%E7%B3%BB%E5%88%97%E5%85%A8%E9%9D%A2%E8%AF%84%E6%B5%8B-meta-%E7%9A%84%E5%BC%80%E6%BA%90%E5%8F%8D%E5%87%BB/Meta 发布 Llama 4 系列（Scout/Maverick/Behemoth），全面评测其性能、部署成本与社区生态，分析是否值得从 Llama 3 升级https://guijiagi.com/posts/llm-selection-guide-v2/Mon, 15 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/llm-selection-guide-v2/GPT-5 vs Claude 4 vs Qwen3 vs DeepSeek V3——四大旗舰模型横评，附不同场景选型建议。https://guijiagi.com/posts/inference-cost-optimization/Thu, 11 Jun 2026 16:00:00 +0800https://guijiagi.com/posts/inference-cost-optimization/GPT-4 级别推理成本一年降了 70%。本文拆解量化、MoE、投机解码三大降本利器。