[{"data":1,"prerenderedAt":2096},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-mimo-code-vs-opencode":9,"compare-a-mimo-code":10,"compare-b-opencode":1016},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,null,{"id":11,"title":12,"alternatives":13,"api_compatible":17,"body":20,"category":945,"chinese_friendly":313,"cover":946,"description":947,"domestic":948,"extension":949,"faq":9,"free":948,"github":258,"languages":950,"lastVerified":9,"meta":953,"models":954,"navigation":303,"notSuitable":956,"opensource":303,"path":961,"pillar":962,"platforms":963,"priceTable":967,"pricing":982,"published":983,"relatedPlaybooks":9,"relatedReviews":9,"score":984,"self_host":303,"seo":985,"seoTitle":986,"slug":987,"sources":988,"stem":999,"suitable":1000,"tagline":1006,"tags":1007,"updated":983,"verdict":1014,"website":258,"__hash__":1015},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fmimo-code.md","MiMo Code",[14,15,16],"coding\u002Fcli\u002Fclaude-code","coding\u002Fcli\u002Fopencode","coding\u002Fcli\u002Fkimi-code",[18,19],"openai","mimo",{"type":21,"value":22,"toc":923},"minimark",[23,28,58,64,67,72,75,91,98,101,105,116,142,149,153,159,171,215,218,222,229,246,249,253,262,265,268,272,388,391,394,397,400,403,406,409,416,478,481,488,490,522,525,557,560,734,739,753,758,772,776,782,788,794,800,806,812,815,873,876,911,919],[24,25,27],"h2",{"id":26},"tldr","TL;DR",[29,30,35,47],"div",{"className":31},[32,33,34],"card","p-5","my-4",[36,37,38,42,43,46],"p",{},[39,40,41],"strong",{},"一句话："," MiMo Code 是小米在 2026 年 6 月 11 日开源的终端 AI 编程 Agent，MIT 协议、基于 OpenCode 架构改造，搭载自研 MiMo 模型。它最炸的成绩是 ",[39,44,45],{},"SWE-Bench Pro 62%、Terminal Bench 2 73% 双双超过 Claude Code","——国产 Agent 第一次在权威基准上硬刚 Anthropic。内置多模态模型、记忆系统、完全免费。",[36,48,49,50,53,54,57],{},"最大价值是 ",[39,51,52],{},"开源彻底 + 基准亮眼","：MIT 协议权重可商用，多模态模型内置不依赖外部 API，记忆系统能跨会话记住项目上下文。代价是 ",[39,55,56],{},"极其早期","——目前仅 V0.1.0，生态、稳定性、文档都还在补，生产环境用要承担\"踩坑\"成本。把它当\"最有潜力的国产 Agent 黑马\"来观察和尝鲜，比当主力工具更合适。",[59,60,61],"blockquote",{},[36,62,63],{},"来源说明：本文基于 GitHub XiaomiMiMo\u002FMiMo-Code 仓库、技术报告与社区评测整理。MiMo Code 处于 V0.1.0 早期阶段，功能与基准数据迭代极快，请以最新官方仓库为准。",[24,65,66],{"id":66},"核心能力",[68,69,71],"h3",{"id":70},"swe-bench-双超-claude-code-的硬实力","SWE-Bench 双超 Claude Code 的硬实力",[36,73,74],{},"MiMo Code 一发布就靠基准成绩刷屏。在两个最被认可的 Agent 编程基准上：",[76,77,78,85],"ul",{},[79,80,81,84],"li",{},[39,82,83],{},"SWE-Bench Pro 62%","——衡量\"给定 GitHub issue，自主定位 + 修复 + 通过测试\"的能力，MiMo 以 62% 超过 Claude Code 的同期成绩",[79,86,87,90],{},[39,88,89],{},"Terminal Bench 2 73%","——衡量\"终端环境下的多步工具调用任务\"能力，MiMo 同样领先",[36,92,93,94,97],{},"这两个基准测的都是 ",[39,95,96],{},"长程任务","——不是单轮补全，而是\"看 issue → 理解代码 → 多文件改 → 跑测试 → 修回归\"的完整 Agent 闭环。MiMo 能在这两项上超 Claude Code，说明它的模型在\"agent 式推理 + 工具调用规划\"上确实有真功夫，而不只是刷 HumanEval 这种单文件题。",[36,99,100],{},"需要说明的是，基准 ≠ 实战体验。SWE-Bench 是标准化任务集，真实项目的复杂度、脏数据、中文场景未必复现同样的领先。但作为\"国产 Agent 第一梯队\"的入场券，这个成绩足够有说服力。",[68,102,104],{"id":103},"基于-opencode-架构终端原生","基于 OpenCode 架构，终端原生",[36,106,107,108,115],{},"MiMo Code 没有从零造轮子，而是 ",[109,110,114],"a",{"href":111,"rel":112},"https:\u002F\u002Fgithub.com\u002Fsst\u002Fopencode",[113],"nofollow","基于 OpenCode 架构"," 改造——TypeScript 全栈、终端 TUI、多会话并行、MCP 支持，这些都继承了 OpenCode 的成熟设计。小米的增量在于：",[76,117,118,124,130,136],{},[79,119,120,123],{},[39,121,122],{},"内置 MiMo 自研模型","——不用自己配 API key，开箱即用（也支持接其他模型）",[79,125,126,129],{},[39,127,128],{},"记忆系统","——跨会话记住项目结构、约定、历史决策，不用每次重新喂上下文",[79,131,132,135],{},[39,133,134],{},"多模态内置","——截图调试、看图改 UI 直接支持，不依赖外部多模态 API",[79,137,138,141],{},[39,139,140],{},"中文优化","——针对中文代码库、中文需求做了专项调优",[36,143,144,145,148],{},"继承 OpenCode 架构的好处是 ",[39,146,147],{},"生态兼容","——OpenCode 的 provider 配置、MCP server、部分插件 MiMo Code 能直接复用，迁移成本低。坏处是也继承了 OpenCode 的早期粗糙：配置门槛、稳定性依赖 API 质量。",[68,150,152],{"id":151},"长程编程-记忆系统","长程编程 + 记忆系统",[36,154,155,156,158],{},"MiMo Code 主打的\"长程编程\"和 Claude Code 的 long-horizon task 是一个意思——撑住 30 分钟以上、跨多文件的自主改造。它的差异化在 ",[39,157,128],{},"：",[36,160,161,162,166,167,170],{},"传统 Agent 每次开新会话都是\"失忆\"的，得重新喂项目上下文。MiMo Code 的记忆系统能把\"这个项目用 Vue3 + Pinia、提交规范是 Conventional Commits、测试跑 vitest、上次改到哪\"这类信息持久化，下次直接续上。这对长期维护一个项目的开发者是实打实的提效——不用每次 ",[163,164,165],"code",{},"\u002Finit"," 重新生成 ",[163,168,169],{},"CLAUDE.md","。",[172,173,178],"pre",{"className":174,"code":175,"language":176,"meta":177,"style":177},"language-bash shiki shiki-themes github-light github-dark","cd your-project\nmimo-code                      # 启动，自动加载项目记忆\n> 继续上次的鉴权模块重构，跑通剩余测试\n","bash","",[163,179,180,193,204],{"__ignoreMap":177},[181,182,185,189],"span",{"class":183,"line":184},"line",1,[181,186,188],{"class":187},"sj4cs","cd",[181,190,192],{"class":191},"sZZnC"," your-project\n",[181,194,196,200],{"class":183,"line":195},2,[181,197,199],{"class":198},"sScJk","mimo-code",[181,201,203],{"class":202},"sJ8bj","                      # 启动，自动加载项目记忆\n",[181,205,207,211],{"class":183,"line":206},3,[181,208,210],{"class":209},"szBVR",">",[181,212,214],{"class":213},"sVt8B"," 继续上次的鉴权模块重构，跑通剩余测试\n",[36,216,217],{},"实测记忆系统在 V0.1.0 还比较初级——能记住显式声明的事实，但对\"隐式约定\"的捕捉还不够智能，偶尔会记错或记漏。方向是对的，成熟度待提升。",[68,219,221],{"id":220},"内置多模态模型免费看图编程","内置多模态模型，免费看图编程",[36,223,224,225,228],{},"MiMo Code 内置了 MiMo 多模态模型，支持图像输入。截图一个 UI bug、贴一张报错栈、丢一张架构图，它都能\"看着改\"——而且 ",[39,226,227],{},"不依赖外部 API","，开箱即用、完全免费：",[172,230,232],{"className":174,"code":231,"language":176,"meta":177,"style":177},"> 这张设计稿还原成响应式页面，注意移动端适配\n[附图：design.png]\n",[163,233,234,241],{"__ignoreMap":177},[181,235,236,238],{"class":183,"line":184},[181,237,210],{"class":209},[181,239,240],{"class":213}," 这张设计稿还原成响应式页面，注意移动端适配\n",[181,242,243],{"class":183,"line":195},[181,244,245],{"class":213},"[附图：design.png]\n",[36,247,248],{},"对前端还原、运维看监控截图、QA 看 bug 截图这类场景，多模态是刚需。Claude Code 也支持多模态但要走 Claude API 计费，MiMo 内置免费的思路对个人开发者更友好。",[68,250,252],{"id":251},"mit-协议彻底开源","MIT 协议，彻底开源",[36,254,255,256,261],{},"MiMo Code 是 ",[109,257,260],{"href":258,"rel":259},"https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code",[113],"MIT 协议"," 开源——权重、代码、工具全可商用、可改、可二次分发。这比 Kimi K2.7 Code 的开源协议更宽松（Kimi 的商用条款需留意），对企业做二次开发、嵌入自家产品是利好。",[36,263,264],{},"小米此举被社区解读为\"用开源换生态\"——终端 Agent 赛道 Claude Code 闭源、OpenCode 占开源高地，小米作为后来者用 MIT + 基准成绩 + 内置模型打差异。能不能跑出来，看后续迭代和社区活跃度。",[24,266,267],{"id":267},"使用体验",[68,269,271],{"id":270},"上手-5-分钟","上手 5 分钟",[172,273,275],{"className":174,"code":274,"language":176,"meta":177,"style":177},"# 一行命令安装\ncurl -fsSL https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code\u002Finstall.sh | bash\n\n# 或 npm\nnpm install -g mimo-code\n\n# 内置模型开箱即用，无需 API key\n# （也可接自托管 MiMo 或其他 OpenAI 兼容模型）\nmimo-code                       # 启动\n\n# 进项目\ncd your-project\nmimo-code \u002Finit                 # 初始化项目记忆\nmimo-code                       # 交互模式\n",[163,276,277,282,299,305,311,326,331,337,343,351,356,362,369,380],{"__ignoreMap":177},[181,278,279],{"class":183,"line":184},[181,280,281],{"class":202},"# 一行命令安装\n",[181,283,284,287,290,293,296],{"class":183,"line":195},[181,285,286],{"class":198},"curl",[181,288,289],{"class":187}," -fsSL",[181,291,292],{"class":191}," https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code\u002Finstall.sh",[181,294,295],{"class":209}," |",[181,297,298],{"class":198}," bash\n",[181,300,301],{"class":183,"line":206},[181,302,304],{"emptyLinePlaceholder":303},true,"\n",[181,306,308],{"class":183,"line":307},4,[181,309,310],{"class":202},"# 或 npm\n",[181,312,314,317,320,323],{"class":183,"line":313},5,[181,315,316],{"class":198},"npm",[181,318,319],{"class":191}," install",[181,321,322],{"class":187}," -g",[181,324,325],{"class":191}," mimo-code\n",[181,327,329],{"class":183,"line":328},6,[181,330,304],{"emptyLinePlaceholder":303},[181,332,334],{"class":183,"line":333},7,[181,335,336],{"class":202},"# 内置模型开箱即用，无需 API key\n",[181,338,340],{"class":183,"line":339},8,[181,341,342],{"class":202},"# （也可接自托管 MiMo 或其他 OpenAI 兼容模型）\n",[181,344,346,348],{"class":183,"line":345},9,[181,347,199],{"class":198},[181,349,350],{"class":202},"                       # 启动\n",[181,352,354],{"class":183,"line":353},10,[181,355,304],{"emptyLinePlaceholder":303},[181,357,359],{"class":183,"line":358},11,[181,360,361],{"class":202},"# 进项目\n",[181,363,365,367],{"class":183,"line":364},12,[181,366,188],{"class":187},[181,368,192],{"class":191},[181,370,372,374,377],{"class":183,"line":371},13,[181,373,199],{"class":198},[181,375,376],{"class":191}," \u002Finit",[181,378,379],{"class":202},"                 # 初始化项目记忆\n",[181,381,383,385],{"class":183,"line":382},14,[181,384,199],{"class":198},[181,386,387],{"class":202},"                       # 交互模式\n",[68,389,390],{"id":390},"日常体感",[36,392,393],{},"作为 V0.1.0 产品，MiMo Code 的体感是\"潜力大、毛刺多\"。",[36,395,396],{},"好的方面：TUI 交互流畅（继承 OpenCode 底子）、中文理解到位、多模态看图实用、内置模型不折腾 key。基准成绩在真实任务上大致能复现——中等复杂度的 bug 修复、功能追加，完成质量确实不输 Claude Code。",[36,398,399],{},"毛刺方面：偶发崩溃、记忆系统记忆不准、长任务中途断、文档不完善、部分 slash 命令行为和 OpenCode 不一致。社区 issue 区还在快速增长，属于\"早期开源项目\"的典型状态。用它当主力会有踩坑成本，当尝鲜和观察对象更合适。",[68,401,402],{"id":402},"配置与扩展",[36,404,405],{},"MiMo Code 兼容 OpenCode 的 provider 配置格式，想接 Claude \u002F GPT \u002F DeepSeek 也能配。但最佳体验还是配 MiMo 自研模型——内置调优、多模态、记忆系统都是围绕它做的。自托管 MiMo 模型需要一定 GPU 资源，个人玩家建议先用官方免费额度或内置模型。",[24,407,408],{"id":408},"价格与运行成本",[36,410,411,412,415],{},"MiMo Code ",[39,413,414],{},"完全免费","——MIT 开源、工具免费、内置模型免费。成本几乎为零（除非自托管模型要算硬件电费）：",[417,418,419,435],"table",{},[420,421,422],"thead",{},[423,424,425,429,432],"tr",{},[426,427,428],"th",{},"路径",[426,430,431],{},"价格",[426,433,434],{},"适用场景",[436,437,438,452,465],"tbody",{},[423,439,440,446,449],{},[441,442,443],"td",{},[39,444,445],{},"内置 MiMo 模型",[441,447,448],{},"免费",[441,450,451],{},"开箱即用，个人开发者首选",[423,453,454,459,462],{},[441,455,456],{},[39,457,458],{},"自托管 MiMo",[441,460,461],{},"免费（需硬件）",[441,463,464],{},"企业 \u002F 隐私场景，需 GPU",[423,466,467,472,475],{},[441,468,469],{},[39,470,471],{},"接其他模型（BYOK）",[441,473,474],{},"按 API 计费",[441,476,477],{},"想用 Claude\u002FGPT 时，自行承担 token 费",[36,479,480],{},"这是三个国产 Agent 里成本结构最干净的——Kimi Code 要付 API 费，OpenCode 要付外部模型 API 费，MiMo Code 内置模型直接免费。对\"一分钱不想花\"的开发者，MiMo 是天花板。",[36,482,483,484,487],{},"但免费的代价是 ",[39,485,486],{},"稳定性","：内置模型推理资源有限（如果走官方服务），高峰可能限流；自托管又要硬件。没有\"既免费又稳定还强\"的免费午餐。",[24,489,434],{"id":434},[76,491,492,498,504,510,516],{},[79,493,494,497],{},[39,495,496],{},"尝鲜国产开源 Agent 黑马","：想第一时间体验 SWE-Bench 超过 Claude Code 的国产选手",[79,499,500,503],{},[39,501,502],{},"基准成绩敏感的研究者","：做 Agent 评测、对比实验，MiMo 是重要样本",[79,505,506,509],{},[39,507,508],{},"需要内置多模态","：截图调试、看图改 UI，不想为多模态单独付费",[79,511,512,515],{},[39,513,514],{},"MIT 协议二次开发","：企业想基于开源 Agent 做自家产品，MiMo 协议最宽松",[79,517,518,521],{},[39,519,520],{},"国内免费 + 中文友好","：不花钱、不要海外账号、中文体验好",[24,523,524],{"id":524},"不适用场景",[76,526,527,533,539,545,551],{},[79,528,529,532],{},[39,530,531],{},"生产环境追求稳定","：V0.1.0 早期，崩溃和毛刺难免，别拿核心业务冒险",[79,534,535,538],{},[39,536,537],{},"需要成熟插件生态","：生态刚起步，第三方工具和自定义命令体系远不如 Claude Code",[79,540,541,544],{},[39,542,543],{},"IDE 内 inline 补全","：CLI Agent 不是补全器",[79,546,547,550],{},[39,548,549],{},"不熟悉终端的新手","：TUI + 配置门槛对纯新手不友好",[79,552,553,556],{},[39,554,555],{},"要企业级 SLA","：开源 V0.1 无任何承诺",[24,558,559],{"id":559},"与同类怎么选",[417,561,562,589],{},[420,563,564],{},[423,565,566,569,571,577,583],{},[426,567,568],{},"维度",[426,570,12],{},[426,572,573],{},[109,574,576],{"href":575},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code",[426,578,579],{},[109,580,582],{"href":581},"\u002Fcoding\u002Fcli\u002Fopencode.html","OpenCode",[426,584,585],{},[109,586,588],{"href":587},"\u002Fcoding\u002Fcli\u002Fkimi-code.html","Kimi Code",[436,590,591,606,623,640,656,672,687,702,719],{},[423,592,593,596,599,602,604],{},[441,594,595],{},"形态",[441,597,598],{},"CLI（TUI）",[441,600,601],{},"CLI",[441,603,598],{},[441,605,601],{},[423,607,608,611,614,617,620],{},[441,609,610],{},"协议",[441,612,613],{},"MIT（最宽松）",[441,615,616],{},"闭源",[441,618,619],{},"MIT",[441,621,622],{},"开源（商用需留意）",[423,624,625,628,631,634,637],{},[441,626,627],{},"模型",[441,629,630],{},"MiMo（内置免费）",[441,632,633],{},"Claude（闭源）",[441,635,636],{},"75+ 任选",[441,638,639],{},"K2.7 Code（开源）",[423,641,642,645,648,651,654],{},[441,643,644],{},"SWE-Bench",[441,646,647],{},"★★★★★ 62%",[441,649,650],{},"★★★★☆",[441,652,653],{},"看模型",[441,655,650],{},[423,657,658,661,664,667,669],{},[441,659,660],{},"多模态",[441,662,663],{},"✅ 内置免费",[441,665,666],{},"✅（计费）",[441,668,653],{},[441,670,671],{},"✅",[423,673,674,676,679,682,685],{},[441,675,128],{},[441,677,678],{},"✅ 跨会话",[441,680,681],{},"✅（CLAUDE.md）",[441,683,684],{},"⚠️ 基础",[441,686,684],{},[423,688,689,692,695,698,700],{},[441,690,691],{},"成熟度",[441,693,694],{},"★★☆☆☆ V0.1",[441,696,697],{},"★★★★★",[441,699,650],{},[441,701,650],{},[423,703,704,707,710,713,716],{},[441,705,706],{},"国内门槛",[441,708,709],{},"★★★★★ 极低",[441,711,712],{},"★☆☆☆☆ 高",[441,714,715],{},"★★★★☆ 低",[441,717,718],{},"★★★★★ 低",[423,720,721,723,725,728,731],{},[441,722,431],{},[441,724,448],{},[441,726,727],{},"$20-$200\u002F月",[441,729,730],{},"免费（BYOK）",[441,732,733],{},"极低",[36,735,736,158],{},[39,737,738],{},"选 MiMo Code 如果你",[76,740,741,744,747,750],{},[79,742,743],{},"想尝鲜基准超 Claude Code 的国产黑马",[79,745,746],{},"要 MIT 协议做二次开发 \u002F 商用",[79,748,749],{},"需要内置免费多模态",[79,751,752],{},"一分钱不想花，又要中文友好",[36,754,755,158],{},[39,756,757],{},"别选 MiMo Code 如果你",[76,759,760,763,766,769],{},[79,761,762],{},"生产环境要稳（V0.1.0 太早期）",[79,764,765],{},"要成熟插件和 MCP 生态（去 Claude Code）",[79,767,768],{},"要 IDE inline 补全（去 Cursor \u002F Copilot）",[79,770,771],{},"企业要 SLA 承诺",[24,773,775],{"id":774},"faq","FAQ",[36,777,778,781],{},[39,779,780],{},"Q：MiMo Code 真能超过 Claude Code 吗？","\nA：在 SWE-Bench Pro 和 Terminal Bench 2 两个标准化基准上，MiMo 的分数确实领先。但基准 ≠ 全场景实战——长任务稳定性、上下文管理、插件生态 MiMo 仍落后。把它理解为\"基准够强，实战在追赶\"更准确。",[36,783,784,787],{},[39,785,786],{},"Q：V0.1.0 能用于生产吗？","\nA：不建议作为生产主力。早期版本崩溃、记忆不准、文档不全等问题难免。建议作为尝鲜 \u002F 备选 \u002F 研究对象，等迭代到 V1.0 再考虑生产化。",[36,789,790,793],{},[39,791,792],{},"Q：内置模型真免费？有限制吗？","\nA：工具和内置模型免费。但若走官方推理服务，高峰可能限流；重度使用建议自托管（需 GPU）或接其他模型 BYOK。",[36,795,796,799],{},[39,797,798],{},"Q：和 Kimi Code 怎么选？","\nA：都是国产开源 CLI Agent。Kimi Code 模型成熟（K2.7 多代迭代）、256K 长上下文、中文强；MiMo Code 基准成绩更亮眼、MIT 协议更宽松、内置多模态免费，但 V0.1 早期。要稳选 Kimi，要尝鲜和 MIT 商用选 MiMo。",[36,801,802,805],{},[39,803,804],{},"Q：基于 OpenCode 架构，能用 OpenCode 的插件吗？","\nA：大部分兼容——provider 配置、MCP server、部分配置文件格式通用。但 MiMo 有自己的增量（记忆系统、内置模型），部分行为和 OpenCode 不完全一致，迁移时需测试。",[36,807,808,811],{},[39,809,810],{},"Q：小米会长期维护吗？","\nA：目前社区活跃、迭代快，但开源项目的长期承诺难以保证。建议关注 GitHub issue 响应速度和发版节奏判断健康度，别把核心流程绑死在单一早期项目上。",[24,813,814],{"id":814},"相关阅读",[76,816,817,831,848,862],{},[79,818,819,820,822,823,822,825,822,827],{},"同类对比：",[109,821,576],{"href":575}," \u002F ",[109,824,582],{"href":581},[109,826,588],{"href":587},[109,828,830],{"href":829},"\u002Fcoding\u002Fcli\u002Fqwen-code.html","Qwen Code",[79,832,833,834,822,838,822,841,822,845],{},"概念：",[109,835,837],{"href":836},"\u002Fwiki\u002Fai-agent.html","AI Agent",[109,839,644],{"href":840},"\u002Fwiki\u002Fswe-bench.html",[109,842,844],{"href":843},"\u002Fwiki\u002Fmcp.html","MCP",[109,846,128],{"href":847},"\u002Fwiki\u002Fagent-memory.html",[79,849,850,851,822,854,822,858],{},"模型：",[109,852,12],{"href":853},"\u002Fmodels\u002Fmimo-code.html",[109,855,857],{"href":856},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[109,859,861],{"href":860},"\u002Fmodels\u002Fkimi-k2.7-code.html","Kimi K2.7 Code",[79,863,864,865,822,869],{},"进阶：",[109,866,868],{"href":867},"\u002Fwiki\u002Fvibe-coding.html","Vibe Coding",[109,870,872],{"href":871},"\u002Fwiki\u002Fcn-coding-models.html","国产大模型编程",[24,874,875],{"id":875},"来源",[76,877,878,884,891,898,904],{},[79,879,880,881],{},"开源仓库：",[109,882,258],{"href":258,"rel":883},[113],[79,885,886,887],{},"技术报告：",[109,888,889],{"href":889,"rel":890},"https:\u002F\u002Fgithub.com\u002FXiaomiMiMo\u002FMiMo-Code\u002Fblob\u002Fmain\u002FREADME.md",[113],[79,892,893,894],{},"MiMo 系列模型：",[109,895,896],{"href":896,"rel":897},"https:\u002F\u002Fgithub.com\u002FXiaomiMiMo",[113],[79,899,900,901],{},"OpenCode 架构基础：",[109,902,111],{"href":111,"rel":903},[113],[79,905,906,907],{},"SWE-Bench 排行榜：",[109,908,909],{"href":909,"rel":910},"https:\u002F\u002Fwww.swebench.com",[113],[36,912,913,914,918],{},"本卡片由 AIHO 编辑部根据官方公开资料与第三方评测整理。所有事实点均标注来源；如发现价格 \u002F 命令 \u002F 功能与最新官方信息不一致，请通过 ",[109,915,917],{"href":916},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",[920,921,922],"style",{},"html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":177,"searchDepth":206,"depth":206,"links":924},[925,926,933,938,939,940,941,942,943,944],{"id":26,"depth":195,"text":27},{"id":66,"depth":195,"text":66,"children":927},[928,929,930,931,932],{"id":70,"depth":206,"text":71},{"id":103,"depth":206,"text":104},{"id":151,"depth":206,"text":152},{"id":220,"depth":206,"text":221},{"id":251,"depth":206,"text":252},{"id":267,"depth":195,"text":267,"children":934},[935,936,937],{"id":270,"depth":206,"text":271},{"id":390,"depth":206,"text":390},{"id":402,"depth":206,"text":402},{"id":408,"depth":195,"text":408},{"id":434,"depth":195,"text":434},{"id":524,"depth":195,"text":524},{"id":559,"depth":195,"text":559},{"id":774,"depth":195,"text":775},{"id":814,"depth":195,"text":814},{"id":875,"depth":195,"text":875},"cli","\u002Fimg\u002Ftools\u002Fmimo-code.webp","MiMo Code 2026 真实评测：小米 2026\u002F6\u002F11 发布的开源终端 AI 编程 Agent，MIT 协议、基于 OpenCode 架构、SWE-Bench Pro 62% 与 Terminal Bench 2 73% 双超 Claude Code。本文整理长程编程能力、内置多模态模型、记忆系统、安装使用、价格、与 Claude Code \u002F Kimi Code 的区别。",false,"md",[951,952],"zh","en",{},[955],"mimo-code-v0.1",[957,958,959,960],"生产环境追求稳定（仅 V0.1.0，仍在快速迭代）","需要成熟插件生态（生态刚起步）","IDE 内 inline 补全场景","不熟悉终端操作的新手","\u002Ftools\u002Fcoding\u002Fcli\u002Fmimo-code","coding",[964,965,966],"macos","linux","windows",[968,973,978],{"plan":969,"price":448,"limit":970,"cn_pay":971,"note":972},"开源版（MIT）","仅承担 API token 成本","✅ 国产模型可用支付宝","可自托管",{"plan":974,"price":448,"limit":975,"cn_pay":976,"note":977},"内置多模态模型","MiMo 自研模型内置","✅ 无需支付","开箱即用",{"plan":979,"price":448,"limit":980,"cn_pay":976,"note":981},"自托管","MIT 协议，权重可下载","需硬件","免费（MIT 协议开源）","2026-07-04",{"power":307,"ux":206,"price":313,"cn_support":313,"stability":206},{"title":12,"description":947},"MiMo Code 评测 2026：小米开源终端 AI Agent，SWE-Bench Pro 62% 双超 Claude Code","coding\u002Fcli\u002Fmimo-code",[989,991,993,995,997],{"title":990,"url":258},"MiMo-Code 开源仓库",{"title":992,"url":889},"MiMo Code 技术报告",{"title":994,"url":896},"小米 MiMo 系列模型",{"title":996,"url":111},"OpenCode 架构（MiMo 基于此）",{"title":998,"url":909},"SWE-Bench Pro 排行榜","tools\u002Fcoding\u002Fcli\u002Fmimo-code",[1001,1002,1003,1004,1005],"想尝鲜国产开源 Agent 黑马的开发者","看重 SWE-Bench \u002F Terminal Bench 基准成绩的研究者","需要内置多模态（截图调试）能力","MIT 协议下做二次开发 \u002F 商用集成","国内开发者，要免费 + 中文友好","小米开源终端 AI 编程 Agent，SWE-Bench 超越 Claude Code",[945,1008,1009,1010,1011,1012,1013],"agent","terminal","xiaomi","opensource","mit","chinese","小米开源 CLI Agent 黑马。SWE-Bench Pro 62%、Terminal Bench 2 73% 双超 Claude Code，MIT 协议、内置免费多模态模型、记忆系统。但仅 V0.1.0，生态和稳定性有待验证。","YafAUhXsZhWf95HfY6yt2tm4UtEDckFf_rxwfvEOIAw",{"id":1017,"title":582,"alternatives":1018,"api_compatible":1021,"body":1026,"category":945,"chinese_friendly":206,"cover":2037,"description":2038,"domestic":948,"extension":949,"faq":9,"free":948,"github":111,"languages":2039,"lastVerified":9,"meta":2040,"models":2041,"navigation":303,"notSuitable":2048,"opensource":303,"path":2053,"pillar":962,"platforms":2054,"priceTable":2055,"pricing":2068,"published":983,"relatedPlaybooks":9,"relatedReviews":9,"score":2069,"self_host":303,"seo":2070,"seoTitle":2071,"slug":15,"sources":2072,"stem":2083,"suitable":2084,"tagline":2090,"tags":2091,"updated":983,"verdict":2094,"website":1981,"__hash__":2095},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fopencode.md",[14,1019,1020],"coding\u002Fcli\u002Fcodex","coding\u002Fcli\u002Faider",[1022,18,1023,1024,1025],"anthropic","google","openrouter","ollama",{"type":21,"value":1027,"toc":2016},[1028,1030,1048,1053,1055,1059,1066,1091,1094,1101,1105,1112,1150,1157,1269,1276,1280,1283,1293,1297,1305,1308,1310,1312,1471,1473,1487,1494,1496,1506,1508,1514,1585,1588,1595,1597,1629,1631,1665,1667,1832,1837,1851,1856,1876,1878,1884,1894,1900,1906,1912,1918,1920,1972,1974,2010,2014],[24,1029,27],{"id":26},[29,1031,1033,1038],{"className":1032},[32,33,34],[36,1034,1035,1037],{},[39,1036,41],{}," OpenCode 是一款完全开源的终端 AI Coding Agent，由 SST 团队用 TypeScript 打造，GitHub 99.8K Star 量级。它把\"终端原生 Agent\"这件事做到了极致——TUI 界面、多会话并行、75+ 模型任意切换、BYOK 完全免费，是 Claude Code 在开源侧最像样的免费平替。",[36,1039,49,1040,1043,1044,1047],{},[39,1041,1042],{},"模型自由","——同一个 Agent 内核，今天用 Claude Sonnet 4 跑难活，明天切 GPT-5 跑审查，后天切 DeepSeek-V3 省钱，全靠 API key 切换，不绑定任何订阅。代价是 ",[39,1045,1046],{},"配置门槛","：多模型路由、provider 配置、本地模型接入都需要手动折腾，稳定性也强依赖你接的 API 质量。",[59,1049,1050],{},[36,1051,1052],{},"来源说明：本文基于 opencode.ai 官方文档、GitHub sst\u002Fopencode 仓库、社区评测与第三方对比整理。OpenCode 迭代极快（几乎每周发版），命令和模型支持列表请以最新官方文档为准。",[24,1054,66],{"id":66},[68,1056,1058],{"id":1057},"终端原生-tui多会话并行","终端原生 TUI，多会话并行",[36,1060,1061,1062,1065],{},"OpenCode 不是又一个\"AI IDE 插件\"，而是独立的终端程序。装好后在任何项目根目录跑 ",[163,1063,1064],{},"opencode","，就进入一个全屏的 TUI（终端用户界面）：左侧文件树、中间对话、右侧 diff 预览，所有操作用键盘完成。这套交互对 Vim \u002F Neovim \u002F tmux 用户极度友好——不抢编辑器焦点，开个分屏就能用。",[172,1067,1069],{"className":174,"code":1068,"language":176,"meta":177,"style":177},"cd your-project\nopencode                       # 进入 TUI 交互模式\n> 把这个 Express 项目迁移到 Fastify，跑通测试再提交\n",[163,1070,1071,1077,1084],{"__ignoreMap":177},[181,1072,1073,1075],{"class":183,"line":184},[181,1074,188],{"class":187},[181,1076,192],{"class":191},[181,1078,1079,1081],{"class":183,"line":195},[181,1080,1064],{"class":198},[181,1082,1083],{"class":202},"                       # 进入 TUI 交互模式\n",[181,1085,1086,1088],{"class":183,"line":206},[181,1087,210],{"class":209},[181,1089,1090],{"class":213}," 把这个 Express 项目迁移到 Fastify，跑通测试再提交\n",[36,1092,1093],{},"它会自动：扫描相关文件 → 给出迁移计划 → 等你确认 → 多文件改写 → 跑测试 → 生成 commit message。整个过程你可以在另一个窗口继续写代码，互不干扰。",[36,1095,1096,1097,1100],{},"TUI 之外，OpenCode 还支持 ",[39,1098,1099],{},"多会话并行","——一个终端里同时挂多个独立 agent 会话，每个有自己的 context 和模型配置。典型用法：一个会话用 Claude Sonnet 跑主开发，另一个用 GPT-5 跑代码审查，第三个用 DeepSeek 跑文档生成，互不污染上下文。这是 Claude Code（单会话为主，子代理是隔离派发）之外另一种\"并行\"思路。",[68,1102,1104],{"id":1103},"_75-模型-byok一个-agent-全通吃","75+ 模型 BYOK，一个 Agent 全通吃",[36,1106,1107,1108,1111],{},"OpenCode 最硬的能力是 ",[39,1109,1110],{},"模型中立","。它不绑死任何厂商，通过 provider 配置接入 75+ 模型，包括：",[76,1113,1114,1120,1126,1132,1138,1144],{},[79,1115,1116,1119],{},[39,1117,1118],{},"Anthropic","：Claude Opus 4 \u002F Sonnet 4 \u002F Haiku 4 全系",[79,1121,1122,1125],{},[39,1123,1124],{},"OpenAI","：GPT-5 \u002F GPT-4.1 \u002F o 系列推理模型",[79,1127,1128,1131],{},[39,1129,1130],{},"Google","：Gemini 2.5 Pro \u002F Flash",[79,1133,1134,1137],{},[39,1135,1136],{},"国产","：DeepSeek-V3、Qwen-Max、GLM-5、Kimi K2",[79,1139,1140,1143],{},[39,1141,1142],{},"本地","：Ollama、LM Studio 任何 GGUF 模型",[79,1145,1146,1149],{},[39,1147,1148],{},"中转","：OpenRouter \u002F 火山引擎 \u002F 硅基流动 一个 key 调全部",[36,1151,1152,1153,1156],{},"配置写在 ",[163,1154,1155],{},"opencode.json"," 里，按模型 \u002F 按场景 \u002F 按成本分配：",[172,1158,1162],{"className":1159,"code":1160,"language":1161,"meta":177,"style":177},"language-json shiki shiki-themes github-light github-dark","{\n  \"models\": {\n    \"hard\": { \"provider\": \"anthropic\", \"model\": \"claude-sonnet-4\" },\n    \"cheap\": { \"provider\": \"deepseek\", \"model\": \"deepseek-v3\" },\n    \"local\": { \"provider\": \"ollama\", \"model\": \"qwen2.5-coder:32b\" }\n  }\n}\n","json",[163,1163,1164,1169,1177,1208,1233,1259,1264],{"__ignoreMap":177},[181,1165,1166],{"class":183,"line":184},[181,1167,1168],{"class":213},"{\n",[181,1170,1171,1174],{"class":183,"line":195},[181,1172,1173],{"class":187},"  \"models\"",[181,1175,1176],{"class":213},": {\n",[181,1178,1179,1182,1185,1188,1191,1194,1197,1200,1202,1205],{"class":183,"line":206},[181,1180,1181],{"class":187},"    \"hard\"",[181,1183,1184],{"class":213},": { ",[181,1186,1187],{"class":187},"\"provider\"",[181,1189,1190],{"class":213},": ",[181,1192,1193],{"class":191},"\"anthropic\"",[181,1195,1196],{"class":213},", ",[181,1198,1199],{"class":187},"\"model\"",[181,1201,1190],{"class":213},[181,1203,1204],{"class":191},"\"claude-sonnet-4\"",[181,1206,1207],{"class":213}," },\n",[181,1209,1210,1213,1215,1217,1219,1222,1224,1226,1228,1231],{"class":183,"line":307},[181,1211,1212],{"class":187},"    \"cheap\"",[181,1214,1184],{"class":213},[181,1216,1187],{"class":187},[181,1218,1190],{"class":213},[181,1220,1221],{"class":191},"\"deepseek\"",[181,1223,1196],{"class":213},[181,1225,1199],{"class":187},[181,1227,1190],{"class":213},[181,1229,1230],{"class":191},"\"deepseek-v3\"",[181,1232,1207],{"class":213},[181,1234,1235,1238,1240,1242,1244,1247,1249,1251,1253,1256],{"class":183,"line":313},[181,1236,1237],{"class":187},"    \"local\"",[181,1239,1184],{"class":213},[181,1241,1187],{"class":187},[181,1243,1190],{"class":213},[181,1245,1246],{"class":191},"\"ollama\"",[181,1248,1196],{"class":213},[181,1250,1199],{"class":187},[181,1252,1190],{"class":213},[181,1254,1255],{"class":191},"\"qwen2.5-coder:32b\"",[181,1257,1258],{"class":213}," }\n",[181,1260,1261],{"class":183,"line":328},[181,1262,1263],{"class":213},"  }\n",[181,1265,1266],{"class":183,"line":333},[181,1267,1268],{"class":213},"}\n",[36,1270,1271,1272,1275],{},"之后在 TUI 里用 ",[163,1273,1274],{},"\u002Fmodel hard"," 一键切换。这种\"模型即配置\"的设计，让省钱和跑难活不再冲突——难的活上 Sonnet，简单的活（注释、文档、测试用例）下放给 DeepSeek，单月成本能压到订阅制的零头。",[68,1277,1279],{"id":1278},"agent-工具链文件操作终端执行mcp","Agent 工具链：文件操作、终端执行、MCP",[36,1281,1282],{},"作为 Agent，OpenCode 内置了完整的工具链：读写文件、执行 shell 命令、跑测试、grep 搜索、git 操作。所有工具调用都在 TUI 里可见可审批，你可以随时打断、回滚。",[36,1284,1285,1286,1288,1289,1292],{},"它同样支持 ",[109,1287,844],{"href":843}," 协议——配置 ",[163,1290,1291],{},".mcp.json"," 后就能在对话里调数据库、调浏览器、调任意 MCP server。这一点和 Claude Code 是同一套生态，迁移成本低。",[68,1294,1296],{"id":1295},"开源-自托管","开源 + 自托管",[36,1298,1299,1300,1304],{},"OpenCode 是 ",[109,1301,1303],{"href":111,"rel":1302},[113],"MIT 协议开源","，TypeScript 全栈，可读可改可自托管。企业担心数据出墙的，可以自建一套：本地 Ollama 模型 + 本地 MCP server + 内网 git，全程不出公司网络。这是闭源的 Claude Code \u002F Cursor 拿不到的优势。",[36,1306,1307],{},"社区活跃度是它的隐形护城河——GitHub 99.8K Star、issue 响应快、第三方插件（LSP 集成、自定义工具、模型 adapter）持续涌现。一个开源 Agent 能跑到这个量级，意味着生态可持续。",[24,1309,267],{"id":267},[68,1311,271],{"id":270},[172,1313,1315],{"className":174,"code":1314,"language":176,"meta":177,"style":177},"# macOS \u002F Linux\ncurl -fsSL https:\u002F\u002Fopencode.ai\u002Finstall.sh | bash\n\n# Windows PowerShell\nirm https:\u002F\u002Fopencode.ai\u002Finstall.ps1 | iex\n\n# 或 npm 全局安装（需 Node 18+）\nnpm install -g opencode\n\n# 验证\nopencode --version\n\n# 配置 API key（任选其一）\nexport ANTHROPIC_API_KEY=sk-ant-...\nexport OPENAI_API_KEY=sk-...\nexport OPENROUTER_API_KEY=sk-or-...      # 一个 key 调 75+ 模型\n\n# 进项目启动\ncd your-project\nopencode                          # 进入 TUI\n",[163,1316,1317,1322,1335,1339,1344,1357,1361,1366,1377,1381,1386,1393,1397,1402,1416,1429,1445,1450,1456,1463],{"__ignoreMap":177},[181,1318,1319],{"class":183,"line":184},[181,1320,1321],{"class":202},"# macOS \u002F Linux\n",[181,1323,1324,1326,1328,1331,1333],{"class":183,"line":195},[181,1325,286],{"class":198},[181,1327,289],{"class":187},[181,1329,1330],{"class":191}," https:\u002F\u002Fopencode.ai\u002Finstall.sh",[181,1332,295],{"class":209},[181,1334,298],{"class":198},[181,1336,1337],{"class":183,"line":206},[181,1338,304],{"emptyLinePlaceholder":303},[181,1340,1341],{"class":183,"line":307},[181,1342,1343],{"class":202},"# Windows PowerShell\n",[181,1345,1346,1349,1352,1354],{"class":183,"line":313},[181,1347,1348],{"class":198},"irm",[181,1350,1351],{"class":191}," https:\u002F\u002Fopencode.ai\u002Finstall.ps1",[181,1353,295],{"class":209},[181,1355,1356],{"class":198}," iex\n",[181,1358,1359],{"class":183,"line":328},[181,1360,304],{"emptyLinePlaceholder":303},[181,1362,1363],{"class":183,"line":333},[181,1364,1365],{"class":202},"# 或 npm 全局安装（需 Node 18+）\n",[181,1367,1368,1370,1372,1374],{"class":183,"line":339},[181,1369,316],{"class":198},[181,1371,319],{"class":191},[181,1373,322],{"class":187},[181,1375,1376],{"class":191}," opencode\n",[181,1378,1379],{"class":183,"line":345},[181,1380,304],{"emptyLinePlaceholder":303},[181,1382,1383],{"class":183,"line":353},[181,1384,1385],{"class":202},"# 验证\n",[181,1387,1388,1390],{"class":183,"line":358},[181,1389,1064],{"class":198},[181,1391,1392],{"class":187}," --version\n",[181,1394,1395],{"class":183,"line":364},[181,1396,304],{"emptyLinePlaceholder":303},[181,1398,1399],{"class":183,"line":371},[181,1400,1401],{"class":202},"# 配置 API key（任选其一）\n",[181,1403,1404,1407,1410,1413],{"class":183,"line":382},[181,1405,1406],{"class":209},"export",[181,1408,1409],{"class":213}," ANTHROPIC_API_KEY",[181,1411,1412],{"class":209},"=",[181,1414,1415],{"class":213},"sk-ant-...\n",[181,1417,1419,1421,1424,1426],{"class":183,"line":1418},15,[181,1420,1406],{"class":209},[181,1422,1423],{"class":213}," OPENAI_API_KEY",[181,1425,1412],{"class":209},[181,1427,1428],{"class":213},"sk-...\n",[181,1430,1432,1434,1437,1439,1442],{"class":183,"line":1431},16,[181,1433,1406],{"class":209},[181,1435,1436],{"class":213}," OPENROUTER_API_KEY",[181,1438,1412],{"class":209},[181,1440,1441],{"class":213},"sk-or-...      ",[181,1443,1444],{"class":202},"# 一个 key 调 75+ 模型\n",[181,1446,1448],{"class":183,"line":1447},17,[181,1449,304],{"emptyLinePlaceholder":303},[181,1451,1453],{"class":183,"line":1452},18,[181,1454,1455],{"class":202},"# 进项目启动\n",[181,1457,1459,1461],{"class":183,"line":1458},19,[181,1460,188],{"class":187},[181,1462,192],{"class":191},[181,1464,1466,1468],{"class":183,"line":1465},20,[181,1467,1064],{"class":198},[181,1469,1470],{"class":202},"                          # 进入 TUI\n",[68,1472,390],{"id":390},[36,1474,1475,1476,1479,1480,1482,1483,1486],{},"实际用下来，OpenCode 的 TUI 体验是开源侧最接近 Claude Code 的。键盘流操作丝滑，diff 实时预览，会话切换比 Claude Code 的 ",[163,1477,1478],{},"\u002Fresume"," 更直观（直接在侧栏点）。多模型切换是杀手锏：跑一个大 refactor 前先 ",[163,1481,1274],{}," 上 Sonnet，跑完切 ",[163,1484,1485],{},"\u002Fmodel cheap"," 让 DeepSeek 补文档，成本可控。",[36,1488,1489,1490,1493],{},"但 ",[39,1491,1492],{},"稳定性是短板","。BYOK 模式下，体验强依赖你接的 API 质量：第三方中转偶尔限流、国产模型长任务容易断、本地模型质量参差。同样一个任务，Claude Code 用官方 API 能稳跑完，OpenCode 接中转可能中途报错重来。社区也承认这一点，正在做重试、断点续跑等加固。",[68,1495,1046],{"id":1046},[36,1497,1498,1499,1501,1502,1505],{},"第一次配 ",[163,1500,1155],{}," 会有学习成本——provider 字段、base_url、模型映射、工具白名单都要手填。社区有模板可抄，但想用好（比如按场景自动路由模型）还是得读文档。相比之下 Claude Code 的 ",[163,1503,1504],{},"claude"," 一键启动确实更省心。",[24,1507,408],{"id":408},[36,1509,1510,1511,1513],{},"OpenCode 本身 ",[39,1512,414],{},"——开源、无订阅、无增值版。你只为你调用的模型 API 付费（BYOK）。这意味着成本完全可控：",[417,1515,1516,1528],{},[420,1517,1518],{},[423,1519,1520,1523,1526],{},[426,1521,1522],{},"接入方式",[426,1524,1525],{},"单月成本估算",[426,1527,434],{},[436,1529,1530,1541,1552,1563,1574],{},[423,1531,1532,1535,1538],{},[441,1533,1534],{},"DeepSeek-V3（国产）",[441,1536,1537],{},"¥20-100",[441,1539,1540],{},"日常编码，性价比之王",[423,1542,1543,1546,1549],{},[441,1544,1545],{},"Claude Sonnet 4（直连）",[441,1547,1548],{},"$50-300",[441,1550,1551],{},"跑难活，最接近 Claude Code 体验",[423,1553,1554,1557,1560],{},[441,1555,1556],{},"OpenRouter 中转",[441,1558,1559],{},"$10-100",[441,1561,1562],{},"一个 key 切多模型",[423,1564,1565,1568,1571],{},[441,1566,1567],{},"本地 Ollama",[441,1569,1570],{},"¥0（电费）",[441,1572,1573],{},"隐私 \u002F 离线 \u002F 实验",[423,1575,1576,1579,1582],{},[441,1577,1578],{},"GPT-5（直连）",[441,1580,1581],{},"$30-200",[441,1583,1584],{},"代码审查、推理任务",[36,1586,1587],{},"对比 Claude Code Max $200\u002F月：用 OpenCode + DeepSeek，同样强度的编码量，单月可能只要 ¥50。这就是开源 + BYOK 的红利——你为用量付费，不为订阅定额买单。",[36,1589,1590,1591,1594],{},"但要注意 ",[39,1592,1593],{},"隐性成本","：多模型配置的时间、调试中转稳定性的精力、偶尔重跑任务的 token 浪费。对这些\"折腾税\"敏感的，订阅制反而更省心。",[24,1596,434],{"id":434},[76,1598,1599,1605,1611,1617,1623],{},[79,1600,1601,1604],{},[39,1602,1603],{},"预算敏感的个人开发者","：想用 Agent 但不想每月 $20+，OpenCode + DeepSeek 是最经济解",[79,1606,1607,1610],{},[39,1608,1609],{},"模型自由爱好者","：想同时对比 Claude \u002F GPT \u002F DeepSeek \u002F 本地模型在同一个 Agent 里的表现",[79,1612,1613,1616],{},[39,1614,1615],{},"Vim \u002F Neovim \u002F tmux 重度用户","：终端原生 TUI，不破坏既有工作流",[79,1618,1619,1622],{},[39,1620,1621],{},"需要自托管 \u002F 隐私的团队","：MIT 开源 + 本地模型，数据不出内网",[79,1624,1625,1628],{},[39,1626,1627],{},"Claude Code 想找平替","：交互逻辑接近，迁移成本低，省下订阅费",[24,1630,524],{"id":524},[76,1632,1633,1642,1648,1653,1659],{},[79,1634,1635,1638,1639,1641],{},[39,1636,1637],{},"零配置开箱即用","：多模型路由要折腾 ",[163,1640,1155],{},"，新手劝退",[79,1643,1644,1647],{},[39,1645,1646],{},"企业级稳定性 SLA","：开源项目无承诺，中转 \u002F 国产模型偶发抖动",[79,1649,1650,1652],{},[39,1651,543],{},"：OpenCode 是 Agent 不是补全器，要 Tab 补全去 Cursor \u002F Copilot",[79,1654,1655,1658],{},[39,1656,1657],{},"纯 Windows 原生","：TUI 在 Windows Terminal 可用，但部分功能建议 WSL",[79,1660,1661,1664],{},[39,1662,1663],{},"不碰终端的用户","：这是 CLI 工具，全程命令行交互",[24,1666,559],{"id":559},[417,1668,1669,1693],{},[420,1670,1671],{},[423,1672,1673,1675,1677,1681,1687],{},[426,1674,568],{},[426,1676,582],{},[426,1678,1679],{},[109,1680,576],{"href":575},[426,1682,1683],{},[109,1684,1686],{"href":1685},"\u002Fcoding\u002Fcli\u002Fcodex.html","Codex CLI",[426,1688,1689],{},[109,1690,1692],{"href":1691},"\u002Fcoding\u002Fcli\u002Faider.html","Aider",[436,1694,1695,1707,1723,1738,1752,1765,1779,1792,1804,1819],{},[423,1696,1697,1699,1701,1703,1705],{},[441,1698,595],{},[441,1700,598],{},[441,1702,601],{},[441,1704,601],{},[441,1706,601],{},[423,1708,1709,1712,1715,1718,1720],{},[441,1710,1711],{},"开源",[441,1713,1714],{},"✅ MIT",[441,1716,1717],{},"❌",[441,1719,671],{},[441,1721,1722],{},"✅ Apache",[423,1724,1725,1727,1730,1733,1736],{},[441,1726,1042],{},[441,1728,1729],{},"★★★★★ 75+",[441,1731,1732],{},"★☆☆☆☆ 仅 Claude",[441,1734,1735],{},"★★★★☆ OpenAI 系",[441,1737,697],{},[423,1739,1740,1743,1745,1747,1749],{},[441,1741,1742],{},"长任务能力",[441,1744,650],{},[441,1746,697],{},[441,1748,650],{},[441,1750,1751],{},"★★★☆☆",[423,1753,1754,1757,1759,1761,1763],{},[441,1755,1756],{},"TUI 体验",[441,1758,697],{},[441,1760,650],{},[441,1762,1751],{},[441,1764,1751],{},[423,1766,1767,1769,1771,1774,1777],{},[441,1768,1099],{},[441,1770,671],{},[441,1772,1773],{},"子代理",[441,1775,1776],{},"⚠️ 有限",[441,1778,1717],{},[423,1780,1781,1784,1786,1788,1790],{},[441,1782,1783],{},"MCP 支持",[441,1785,650],{},[441,1787,697],{},[441,1789,1751],{},[441,1791,1717],{},[423,1793,1794,1796,1798,1800,1802],{},[441,1795,431],{},[441,1797,730],{},[441,1799,727],{},[441,1801,727],{},[441,1803,730],{},[423,1805,1806,1808,1811,1814,1816],{},[441,1807,706],{},[441,1809,1810],{},"低（国产模型）",[441,1812,1813],{},"高",[441,1815,1813],{},[441,1817,1818],{},"低",[423,1820,1821,1823,1826,1828,1830],{},[441,1822,486],{},[441,1824,1825],{},"★★★☆☆ 依赖 API",[441,1827,650],{},[441,1829,650],{},[441,1831,650],{},[36,1833,1834,158],{},[39,1835,1836],{},"选 OpenCode 如果你",[76,1838,1839,1842,1845,1848],{},[79,1840,1841],{},"想用 Claude Code 的体验但不想付订阅",[79,1843,1844],{},"需要在多个模型间灵活切换（省钱 \u002F 跑难活 \u002F 隐私）",[79,1846,1847],{},"是 Vim \u002F 终端重度用户，不想装 IDE",[79,1849,1850],{},"团队要自托管，数据不出墙",[36,1852,1853,158],{},[39,1854,1855],{},"别选 OpenCode 如果你",[76,1857,1858,1861,1873],{},[79,1859,1860],{},"要开箱即用、零配置（去 Claude Code \u002F Cursor）",[79,1862,1863,1864,822,1868,1872],{},"要 IDE 内 inline 补全（去 ",[109,1865,1867],{"href":1866},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor",[109,1869,1871],{"href":1870},"\u002Fcoding\u002Fcopilot\u002Fgithub-copilot.html","Copilot","）",[79,1874,1875],{},"企业要求稳定 SLA（开源 + BYOK 抖动难避免）",[24,1877,775],{"id":774},[36,1879,1880,1883],{},[39,1881,1882],{},"Q：OpenCode 真的完全免费吗？","\nA：工具本身免费开源（MIT）。但调模型 API 要花钱——除非你只用本地 Ollama 模型。所谓\"免费\"指的是不收订阅费，BYOK 模式下你为 token 买单。",[36,1885,1886,1889,1890,1893],{},[39,1887,1888],{},"Q：和 Claude Code 比，差在哪？","\nA：长任务稳定性、上下文管理（Claude Code 的 ",[163,1891,1892],{},"\u002Fcompact"," 更成熟）、官方模型深度调优。OpenCode 胜在模型自由和免费。简单说：要稳选 Claude Code，要省和自由选 OpenCode。",[36,1895,1896,1899],{},[39,1897,1898],{},"Q：国内怎么用最省心？","\nA：用 OpenRouter 一个 key 调全部模型（支持支付宝），或直接接 DeepSeek \u002F Qwen 国产模型。网络压力小，成本最低。",[36,1901,1902,1905],{},[39,1903,1904],{},"Q：能接本地模型吗？","\nA：能。Ollama \u002F LM Studio 跑 GGUF 模型，OpenCode 通过 OpenAI 兼容接口接入。完全离线可用，适合隐私场景。",[36,1907,1908,1911],{},[39,1909,1910],{},"Q：OpenCode 和 Aider 都是开源 CLI，区别？","\nA：Aider 更老牌、更轻量，专注\"每改即 commit\"的 git 流；OpenCode 更现代，TUI 体验和多会话并行更强，模型生态更广。要轻量选 Aider，要体验选 OpenCode。",[36,1913,1914,1917],{},[39,1915,1916],{},"Q：会取代 Claude Code 吗？","\nA：对预算敏感、爱折腾的用户，是的。对要稳定 + 长任务 + 不差钱的，Claude Code 仍是最优解。两者更像互补——OpenCode 日常省钱，Claude Code 跑关键大活。",[24,1919,814],{"id":814},[76,1921,1922,1934,1948,1964],{},[79,1923,819,1924,822,1926,822,1928,822,1930],{},[109,1925,576],{"href":575},[109,1927,1686],{"href":1685},[109,1929,1692],{"href":1691},[109,1931,1933],{"href":1932},"\u002Fcoding\u002Fcli\u002Fgemini-cli.html","Gemini CLI",[79,1935,833,1936,822,1938,822,1940,822,1944],{},[109,1937,837],{"href":836},[109,1939,844],{"href":843},[109,1941,1943],{"href":1942},"\u002Fwiki\u002Fbyok.html","BYOK",[109,1945,1947],{"href":1946},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[79,1949,850,1950,822,1952,822,1956,822,1960],{},[109,1951,857],{"href":856},[109,1953,1955],{"href":1954},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[109,1957,1959],{"href":1958},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[109,1961,1963],{"href":1962},"\u002Fmodels\u002Fqwen-max.html","Qwen-Max",[79,1965,864,1966,822,1968],{},[109,1967,868],{"href":867},[109,1969,1971],{"href":1970},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[24,1973,875],{"id":875},[76,1975,1976,1983,1990,1996,2003],{},[79,1977,1978,1979],{},"官网：",[109,1980,1981],{"href":1981,"rel":1982},"https:\u002F\u002Fopencode.ai",[113],[79,1984,1985,1986],{},"官方文档：",[109,1987,1988],{"href":1988,"rel":1989},"https:\u002F\u002Fopencode.ai\u002Fdocs",[113],[79,1991,1992,1993],{},"GitHub：",[109,1994,111],{"href":111,"rel":1995},[113],[79,1997,1998,1999],{},"模型支持：",[109,2000,2001],{"href":2001,"rel":2002},"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fmodels",[113],[79,2004,2005,2006],{},"对比文档：",[109,2007,2008],{"href":2008,"rel":2009},"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fcomparisons\u002Fclaude-code",[113],[36,2011,913,2012,918],{},[109,2013,917],{"href":916},[920,2015,922],{},{"title":177,"searchDepth":206,"depth":206,"links":2017},[2018,2019,2025,2030,2031,2032,2033,2034,2035,2036],{"id":26,"depth":195,"text":27},{"id":66,"depth":195,"text":66,"children":2020},[2021,2022,2023,2024],{"id":1057,"depth":206,"text":1058},{"id":1103,"depth":206,"text":1104},{"id":1278,"depth":206,"text":1279},{"id":1295,"depth":206,"text":1296},{"id":267,"depth":195,"text":267,"children":2026},[2027,2028,2029],{"id":270,"depth":206,"text":271},{"id":390,"depth":206,"text":390},{"id":1046,"depth":206,"text":1046},{"id":408,"depth":195,"text":408},{"id":434,"depth":195,"text":434},{"id":524,"depth":195,"text":524},{"id":559,"depth":195,"text":559},{"id":774,"depth":195,"text":775},{"id":814,"depth":195,"text":814},{"id":875,"depth":195,"text":875},"\u002Fimg\u002Ftools\u002Fopencode.webp","OpenCode 2026 真实评测：SST 团队开源的终端 AI 编程 Agent，TypeScript 开发，GitHub 99.8K Star。本文整理 TUI 界面、多会话并行、75+ 模型 BYOK 切换、安装使用、价格、与 Claude Code \u002F Aider \u002F Codex CLI 的区别，以及国内使用门槛。",[952],{},[2042,2043,2044,2045,2046,2047],"claude-sonnet-4","gpt-5","gemini-2.5-pro","deepseek-v3","qwen-max","75+ 模型",[2049,2050,2051,2052],"希望开箱即用、零配置的用户（多模型路由要折腾）","要求企业级稳定性 SLA 的团队（开源项目无承诺）","需要 IDE 内 inline 补全体验（用 Cursor \u002F Copilot）","完全不熟悉 API key \u002F 终端操作的新手","\u002Ftools\u002Fcoding\u002Fcli\u002Fopencode",[964,965,966],[2056,2059,2063],{"plan":2057,"price":448,"limit":970,"cn_pay":971,"note":2058},"开源版（BYOK）","自带 API key",{"plan":2060,"price":448,"limit":2061,"cn_pay":976,"note":2062},"本地模型","Ollama \u002F LM Studio 本地跑","适合离线 \u002F 隐私场景",{"plan":1556,"price":2064,"limit":2065,"cn_pay":2066,"note":2067},"按用量","一个 key 调用 75+ 模型","✅ 支持支付宝","国内最省心的接入方式","完全免费（BYOK）",{"power":307,"ux":307,"price":313,"cn_support":206,"stability":206},{"title":582,"description":2038},"OpenCode 评测 2026：开源 AI Coding Agent，Claude Code 免费平替，75+ 模型任意切换",[2073,2075,2077,2079,2081],{"title":2074,"url":1981},"OpenCode 官网",{"title":2076,"url":1988},"OpenCode 官方文档",{"title":2078,"url":111},"GitHub sst\u002Fopencode",{"title":2080,"url":2001},"OpenCode 模型支持列表",{"title":2082,"url":2008},"OpenCode vs Claude Code 对比","tools\u002Fcoding\u002Fcli\u002Fopencode",[2085,2086,2087,2088,2089],"想用 Claude Code 体验但不想付费订阅的开发者","需要在不同模型间灵活切换（省钱 \u002F 跑难活 \u002F 隐私）","JetBrains \u002F Vim \u002F Neovim 用户，不想换编辑器","想自托管、私有部署 AI 编程 Agent 的团队","本地模型爱好者（Ollama \u002F LM Studio 接入）","开源 AI Coding Agent，Claude Code 免费平替，支持 75+ 模型",[945,1008,1009,1011,2092,2093],"byok","multi-model","Claude Code 的最佳免费替代。完全开源、75+ 模型任意切换、终端原生 TUI，社区活跃度 GitHub 99.8K Star。缺点是多模型配置门槛高、稳定性依赖 BYOK 的 API 质量。","tgkfC7asWLHQk82Kfi6dYyWdIh-xmydi4E__gt7xDdM",1784565441590]