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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>AI 模型旗舰横评对比 — 国内+海外 — AINav</title>
<meta name="description" content="9 款 AI 旗舰模型横评对比：DeepSeek-V4-Pro/Flash、GLM-5.2、Kimi K2.6、Qwen 3.6、MiniMax M2.7、Gemma 4、GPT-5、Claude Fable 5/Opus 4.8、Gemini Pro；含技术亮点、场景矩阵与选型建议。">
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<meta property="og:description" content="9 款 AI 旗舰模型横评 · 国内 vs 海外 · 技术亮点与场景矩阵，帮你精准选型大模型。">
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<body>
<div class="cp-top">
<div class="cp-top-inner">
<nav class="cp-nav" data-plan-nav>
<a href="index.html">← AINav 首页</a>
<a href="coding-plan.html">编程套餐横评</a>
<a href="agent-plan.html">Agent横评</a>
<a href="model-plan.html" style="color:var(--accent)">模型选型</a>
<a href="video-plan.html">视频套餐横评</a>
<a href="image-plan.html">图像套餐横评</a>
<a href="skill-plan.html">Skill最佳实践</a> · <a href="ai-encyclopedia-2026.html">AI百科</a>
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<div class="cp-wrap">
<div style="margin-bottom:1rem;padding:.55rem .85rem;border-radius:8px;border:1px solid var(--border);background:var(--card);display:flex;flex-wrap:wrap;align-items:center;justify-content:center;gap:.35rem .6rem;font-size:.84rem;line-height:1.5;">
<strong style="color:var(--text)">OpenAI: GPT</strong> <span style="color:var(--muted)">·</span>
<strong style="color:var(--text)">Anthropic: Claude</strong> <span style="color:var(--muted)">·</span>
<strong style="color:var(--text)">Google: Gemini旗舰模型</strong> <span style="color:var(--muted)">· 国内直连免梯</span>
<span class="plan-promo-code" data-code="AFF_BB0FNC" style="color:var(--accent2);font-weight:600;cursor:pointer" title="点击复制优惠码">$2优惠码 AFF_BB0FNC</span>
<a href="https://ofox.io/x/aiv123" target="_blank" rel="noopener noreferrer sponsored" style="display:inline-flex;align-items:center;font-size:.78rem;font-weight:600;color:var(--accent2);padding:.2rem .55rem;border-radius:5px;border:1px solid rgba(63,185,80,.4);background:rgba(63,185,80,.1);text-decoration:none;white-space:nowrap;">立即注册</a>
</div>
<h1>🧠 AI 模型选型横评</h1>
<p class="cp-subtitle">10 款 AI 旗舰模型技术特性 × 适用场景映射：DeepSeek-V4-Pro、GLM-5.2、Kimi K2.6、Qwen 3.6、MiniMax M2.7、Gemma 4、GPT-5、Claude Fable 5/Opus 4.8、Gemini 3.1 Pro。</p>
<div class="cp-legend">
<span class="cp-legend-item"><span class="cp-badge badge-deepseek">DeepSeek</span> 长上下文</span>
<span class="cp-legend-item"><span class="cp-badge badge-glm">GLM</span> 长程 Coding</span>
<span class="cp-legend-item"><span class="cp-badge badge-kimi">Kimi</span> Agent</span>
<span class="cp-legend-item"><span class="cp-badge badge-qwen">Qwen</span> 性价比</span>
<span class="cp-legend-item"><span class="cp-badge badge-minimax">MiniMax</span> 速度</span>
<span class="cp-legend-item"><span class="cp-badge badge-gemma">Gemma</span> 端侧</span>
<span class="cp-legend-item"><span class="cp-badge badge-overseas">GPT/Claude/Gemini</span> 海外旗舰</span>
</div>
<div class="cp-section-hd"><span class="cp-flag">🇨🇳</span> 国内旗舰模型</div>
<div class="cp-platforms">
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro" target="_blank" rel="noopener noreferrer">DeepSeek-V4-Pro</a></span>
<span class="cp-badge badge-deepseek">长上下文</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">1.6T MoE</span><span class="tech-tag">CSA+HCA</span><span class="tech-tag">1M 上下文</span><span class="tech-tag">Think Max</span><br>
<strong class="good">✓ 天然适合：</strong>开源 Agent 底座、百万 token 论文/代码库、长程研究复现<br>
<strong class="bad">✗ 天然不适合：</strong>极低延迟对话、端侧部署、强合规私有化未评估场景<br>
<strong>设计理念：</strong>用稀疏注意力把 1M 上下文做成「可用」而非「纸面参数」；V4-Flash 适合轻量部署
</div>
</div>
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://z.ai/blog/glm-5.2" target="_blank" rel="noopener noreferrer">GLM-5.2</a></span>
<span class="cp-badge badge-glm">长程 Coding</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">Solid 1M</span><span class="tech-tag">IndexShare</span><span class="tech-tag">MIT 开源</span><span class="tech-tag">长程 RL</span><br>
<strong class="good">✓ 天然适合：</strong>项目级工程上下文、数小时连续 Coding、对标 Opus 4.8 的国产长程任务<br>
<strong class="bad">✗ 天然不适合：</strong>峰值时段额度 3× 消耗、纯闲聊低延迟场景<br>
<strong>设计理念：</strong>Coding Plan 全量开放；Fable 5 暂停后的务实国产替代路线
</div>
</div>
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://kimi.moonshot.cn" target="_blank" rel="noopener noreferrer">Kimi K2.6</a></span>
<span class="cp-badge badge-kimi">Agent 深度</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">300 并行子 Agent</span><span class="tech-tag">4000 步协作</span><span class="tech-tag">96.6% 工具成功率</span><br>
<strong class="good">✓ 天然适合：</strong>多步工作流、检索+推理+执行、复杂 Agent 编排<br>
<strong class="bad">✗ 天然不适合：</strong>纯单轮问答、极致低价批量推理<br>
<strong>设计理念：</strong>Agent 深度与广度优先，复杂任务需要多个专家协作
</div>
</div>
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://tongyi.aliyun.com/qianwen/" target="_blank" rel="noopener noreferrer">Qwen 3.6</a></span>
<span class="cp-badge badge-qwen">性价比</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">36T 数据</span><span class="tech-tag">自我反思 RL</span><span class="tech-tag">1M 上下文</span><span class="tech-tag">$0.29/M</span><br>
<strong class="good">✓ 天然适合：</strong>代码/多语言任务、API 批量调用、成本敏感的海量推理<br>
<strong class="bad">✗ 天然不适合：</strong>顶级 Agent 深度、端侧部署<br>
<strong>设计理念：</strong>数据规模 + 低价 API，「足够好且足够便宜」
</div>
</div>
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://www.minimaxi.com" target="_blank" rel="noopener noreferrer">MiniMax M2.7</a></span>
<span class="cp-badge badge-minimax">速度</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">10B 激活</span><span class="tech-tag">30 tok/s</span><span class="tech-tag">流式低延迟</span><br>
<strong class="good">✓ 天然适合：</strong>实时对话、客服/语音、高并发 API、流式交互<br>
<strong class="bad">✗ 天然不适合：</strong>复杂长文档深度推理、顶级代码架构设计<br>
<strong>设计理念：</strong>速度是第一要素，交互体验优先于极限智商
</div>
</div>
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://ai.google.dev/gemma" target="_blank" rel="noopener noreferrer">Gemma 4</a></span>
<span class="cp-badge badge-gemma">端侧</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">E2B 端侧</span><span class="tech-tag">PLE 多模态</span><span class="tech-tag">140+ 语言</span><span class="tech-tag">Apache 2.0</span><br>
<strong class="good">✓ 天然适合：</strong>端侧 AI 助手、隐私本地、离线翻译、IoT<br>
<strong class="bad">✗ 天然不适合：</strong>超大模型搜索、1M 上下文长任务<br>
<strong>设计理念：</strong>端侧 AI 的「平台级能力」，车机/IoT/手机端为主战场
</div>
</div>
</div>
<div class="cp-section-hd overseas-hd"><span class="cp-flag">🌍</span> 海外旗舰模型</div>
<div class="cp-platforms">
<div class="cp-platform overseas">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://chatgpt.com" target="_blank" rel="noopener noreferrer">GPT-5 (OpenAI)</a></span>
<span class="cp-badge badge-gpt">通用旗舰</span>
<span class="cp-badge badge-overseas">海外</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">多模态原生</span><span class="tech-tag">内置 CoT</span><span class="tech-tag">工具调用</span><br>
<strong class="good">✓ 天然适合：</strong>通用对话、创意写作、多模态理解、插件/Agent 生态<br>
<strong class="bad">✗ 天然不适合：</strong>超长上下文(对比 1M 档)、国内直连、端侧部署<br>
<strong>设计理念：</strong>通用智能优先，一个模型覆盖最多场景
</div>
</div>
<div class="cp-platform overseas">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://www.anthropic.com/claude/fable" target="_blank" rel="noopener noreferrer">Claude Fable 5</a></span>
<span class="cp-badge badge-claude">长程旗舰</span>
<span class="cp-badge badge-hot">暂停中</span>
<span class="cp-badge badge-overseas">海外</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">1M 上下文</span><span class="tech-tag">128K 输出</span><span class="tech-tag">长程 Agent</span><br>
<strong class="good">✓ 天然适合：</strong>数小时/数天异步长程任务（6/9 发布时为最强 GA 模型）<br>
<strong class="bad">✗ 天然不适合：</strong>6/12 起全球暂停访问；敏感域回落 Opus 4.8<br>
<strong>设计理念：</strong>能力 > 速度；恢复前请用 Opus 4.8 / Sonnet 4.6，国产侧用 GLM-5.2
</div>
</div>
<div class="cp-platform overseas">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://www.anthropic.com/claude" target="_blank" rel="noopener noreferrer">Claude Opus 4.8</a></span>
<span class="cp-badge badge-claude">深度推理</span>
<span class="cp-badge badge-overseas">海外</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">Constitutional AI</span><span class="tech-tag">200K+ 上下文</span><span class="tech-tag">代码/推理</span><br>
<strong class="good">✓ 天然适合：</strong>Fable 5 暂停期间主力；复杂代码、长文档、学术研究<br>
<strong class="bad">✗ 天然不适合：</strong>中文略弱、需梯子、端侧部署<br>
<strong>设计理念：</strong>质量 > 速度；对齐与安全优先的可靠输出
</div>
</div>
<div class="cp-platform overseas">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://gemini.google.com" target="_blank" rel="noopener noreferrer">Gemini 3.1 Pro</a></span>
<span class="cp-badge badge-gemini">多模态旗舰</span>
<span class="cp-badge badge-overseas">海外</span>
</div>
<div class="cp-platform-body">
<strong>核心技术：</strong><span class="tech-tag">1M 上下文</span><span class="tech-tag">原生多模态</span><span class="tech-tag">Workspace 集成</span><br>
<strong class="good">✓ 天然适合：</strong>多模态理解、视频/图像/文档、Google 生态与搜索增强<br>
<strong class="bad">✗ 天然不适合：</strong>中文代码场景弱于 Claude/GLM、需梯子<br>
<strong>设计理念：</strong>多模态优先 > 纯文本；AI 融入 Google 工作流
</div>
</div>
</div>
<div class="cp-section-hd"><span class="cp-flag">📊</span> 技术特性 × 场景速查表</div>
<div class="cp-matrix-wrap">
<table class="cp-matrix">
<thead>
<tr><th>模型</th><th>核心技术亮点</th><th>天然适合</th><th>天然不适合</th></tr>
</thead>
<tbody>
<tr><td class="model-name">DeepSeek-V4-Pro</td><td>1.6T MoE · CSA+HCA · 1M · Think Max</td><td class="good">开源 Agent 长上下文、研究复现</td><td class="bad">极低延迟、端侧</td></tr>
<tr><td class="model-name">GLM-5.2</td><td>IndexShare · Solid 1M · MIT · 长程 Coding RL</td><td class="good">项目级工程、对标 Opus 4.8 的国产 Coding</td><td class="bad">峰值 3× 额度</td></tr>
<tr><td class="model-name">Kimi K2.6</td><td>300 子 Agent · 4000 步协作 · 96.6% 工具率</td><td class="good">复杂多步工作流、Agent 编排</td><td class="bad">纯单轮低价批量</td></tr>
<tr><td class="model-name">Qwen 3.6</td><td>36T 数据 · 反思 RL · 1M · $0.29/M</td><td class="good">代码/多语言、高性价比 API</td><td class="bad">顶级 Agent 深度</td></tr>
<tr><td class="model-name">MiniMax M2.7</td><td>10B 激活 · 30 tok/s · 流式</td><td class="good">实时对话、高并发 API</td><td class="bad">超长文档深度推理</td></tr>
<tr><td class="model-name">Gemma 4</td><td>E2B 端侧 · PLE · 140+ 语言 · Apache 2.0</td><td class="good">端侧/离线/隐私</td><td class="bad">1M 长上下文</td></tr>
<tr><td class="model-name" style="color:var(--overseas)">GPT-5</td><td>多模态 · CoT · Function Calling</td><td class="good">通用对话、插件 Agent</td><td class="bad">国内直连、1M 档对比弱</td></tr>
<tr><td class="model-name" style="color:var(--overseas)">Claude Fable 5</td><td>1M · 长程 Agent · 6/12 全球暂停</td><td class="good">发布时最强长程 GA（已暂停）</td><td class="bad">当前不可用</td></tr>
<tr><td class="model-name" style="color:var(--overseas)">Claude Opus 4.8</td><td>Constitutional AI · 200K+ · 代码旗舰</td><td class="good">复杂代码、长文档、Fable 回落主力</td><td class="bad">中文、梯子</td></tr>
<tr><td class="model-name" style="color:var(--overseas)">Gemini 3.1 Pro</td><td>1M · 多模态 · Google 生态</td><td class="good">多模态、搜索、Workspace</td><td class="bad">中文代码弱于 GLM/Claude</td></tr>
</tbody>
</table>
</div>
<div class="cp-section-hd"><span class="cp-flag">🎯</span> 场景选型推荐</div>
<div class="cp-scenario">
<div class="cp-scenario-head">📚 场景 1：读 100 万字论文/法规</div>
<div class="cp-scenario-body">
<span class="candidate">候选：DeepSeek-V4-Pro、Qwen 3.6 Plus、Gemini 3.1 Pro</span><br>
<span class="recommend">👉 推荐：DeepSeek-V4-Pro</span>
<ul class="reason">
<li>1M 上下文 + CSA/HCA，长上下文推理 FLOPs 约为 V3.2 的 27%</li>
<li>Engram 条件记忆可 O(1) 检索超长文档条款</li>
</ul>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">💻 场景 2：AI 写完整 Web 应用（前端+后端+部署）</div>
<div class="cp-scenario-body">
<span class="candidate">候选：GLM-5.2、Kimi K2.6、Claude Opus 4.8</span><br>
<span class="recommend">👉 推荐：GLM-5.2（国内）/ Claude Opus 4.8（海外）</span>
<ul class="reason">
<li>GLM-5.2 Solid 1M 已验证 85 万 token 连续工程任务，Coding Plan 全量开放</li>
<li>Fable 5 暂停期间，Opus 4.8 为海外长程 Coding 主力</li>
</ul>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">⚡ 场景 3：7×24 客服系统</div>
<div class="cp-scenario-body">
<span class="candidate">候选：MiniMax M2.7、Qwen 3.6 Plus、Gemma 4</span><br>
<span class="recommend">👉 推荐：MiniMax M2.7（云端）/ Gemma 4（端侧）</span>
<ul class="reason">
<li>M2.7 约 30 tok/s，10B 激活参数适合高并发</li>
<li>端侧隐私场景选 Gemma 4 E2B</li>
</ul>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">🤖 场景 4：开源 Agent 底座（Hermes + 国产 API）</div>
<div class="cp-scenario-body">
<span class="candidate">候选：DeepSeek-V4-Pro、GLM-5.2、Qwen 3.6</span><br>
<span class="recommend">👉 推荐：GLM-5.2 + Hermes Agent</span>
<ul class="reason">
<li>2026 社区主流组合：Hermes 负责 Agent 编排，GLM-5.2 负责长程 Coding</li>
<li>DeepSeek-V4-Pro 适合极致长上下文与开源权重自部署</li>
</ul>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">🛡️ 场景 5：长程 Agent（Fable 5 暂停后的替代）</div>
<div class="cp-scenario-body">
<span class="candidate">候选：Claude Opus 4.8、GLM-5.2、DeepSeek-V4-Pro</span><br>
<span class="recommend">👉 推荐：海外 Opus 4.8 / 国内 GLM-5.2</span>
<ul class="reason">
<li>Fable 5 于 2026/6/12 全球暂停；Anthropic 敏感域自动回落 Opus 4.8</li>
<li>智谱明确将 GLM-5.2 定位为 Fable 不可用时的开放替代路线</li>
</ul>
</div>
</div>
<div class="cp-summary">
<h2>📌 一句话速查</h2>
<div class="cp-summary-grid">
<div class="cp-summary-item"><span class="cp-badge badge-deepseek">长上下文</span> 百万 token <span class="arrow">→</span> DeepSeek-V4-Pro</div>
<div class="cp-summary-item"><span class="cp-badge badge-glm">长程 Coding</span> 工程交付 <span class="arrow">→</span> GLM-5.2</div>
<div class="cp-summary-item"><span class="cp-badge badge-kimi">Agent</span> 多步工作流 <span class="arrow">→</span> Kimi K2.6</div>
<div class="cp-summary-item"><span class="cp-badge badge-qwen">性价比</span> 海量 API <span class="arrow">→</span> Qwen 3.6</div>
<div class="cp-summary-item"><span class="cp-badge badge-minimax">速度</span> 实时交互 <span class="arrow">→</span> MiniMax M2.7</div>
<div class="cp-summary-item"><span class="cp-badge badge-gemma">端侧</span> 离线/隐私 <span class="arrow">→</span> Gemma 4</div>
<div class="cp-summary-item"><span class="cp-badge badge-gpt">通用</span> 生态最广 <span class="arrow">→</span> GPT-5</div>
<div class="cp-summary-item"><span class="cp-badge badge-claude">深度</span> 代码/推理 <span class="arrow">→</span> Opus 4.8</div>
<div class="cp-summary-item"><span class="cp-badge badge-gemini">多模态</span> 视频/搜索 <span class="arrow">→</span> Gemini 3.1 Pro</div>
</div>
<p style="margin-top:1rem;font-size:0.88rem;color:var(--muted);text-align:center;">没有「最好的模型」，只有「最适合你场景的模型」。</p>
</div>
<div class="cp-footer">
<p class="cp-updated-line"><span class="cp-updated">最后更新：2026-06-22</span></p>
<p>数据来源：各模型官方技术博客与论文 · 能力评估以公开基准为准</p>
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