[{"data":1,"prerenderedAt":2046},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-kimi-code-vs-opencode":9,"compare-a-kimi-code":10,"compare-b-opencode":963},{"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":892,"chinese_friendly":264,"cover":893,"description":894,"domestic":895,"extension":896,"faq":9,"free":895,"github":74,"languages":897,"lastVerified":9,"meta":900,"models":901,"navigation":254,"notSuitable":903,"opensource":254,"path":908,"pillar":909,"platforms":910,"priceTable":914,"pricing":929,"published":930,"relatedPlaybooks":9,"relatedReviews":9,"score":931,"self_host":254,"seo":932,"seoTitle":933,"slug":934,"sources":935,"stem":947,"suitable":948,"tagline":954,"tags":955,"updated":930,"verdict":961,"website":838,"__hash__":962},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fkimi-code.md","Kimi Code",[14,15,16],"coding\u002Fcli\u002Fclaude-code","coding\u002Fcli\u002Fopencode","coding\u002Fcli\u002Fmimo-code",[18,19],"moonshot","openai",{"type":21,"value":22,"toc":872},"minimark",[23,28,54,60,63,68,79,113,116,120,127,172,175,190,193,196,213,216,220,223,325,328,331,334,337,344,350,353,383,386,393,455,458,460,492,495,527,530,685,691,705,710,721,725,731,740,746,752,758,764,767,828,831,860,868],[24,25,27],"h2",{"id":26},"tldr","TL;DR",[29,30,35,43],"div",{"className":31},[32,33,34],"card","p-5","my-4",[36,37,38,42],"p",{},[39,40,41],"strong",{},"一句话："," Kimi Code 是月之暗面（Moonshot AI）在 2026 年 6 月推出的国产 CLI Agent，搭载自研开源的 K2.7 Code 模型——1.1 万亿参数、256K 上下文、Token 成本较上代降 30%。它瞄准的是\"Claude Code 的国产平替\"：长程任务能力逼近第一梯队，中文编程体验和成本却是压倒性优势。",[36,44,45,46,49,50,53],{},"最大价值是 ",[39,47,48],{},"中文场景的体感","——读中文注释、写中文 commit message、理解中文需求描述，K2.7 Code 的母语级表现甩开一众海外模型。叠加 256K 上下文能整库塞进去，国内开发者终于有了\"不折腾海外账号、不烧美元\"的 Agent 选项。代价是 ",[39,51,52],{},"生态早期","：插件、MCP 工具链、第三方集成还不如 Claude Code 成熟，开源版本自托管的工程量也不小。",[55,56,57],"blockquote",{},[36,58,59],{},"来源说明：本文基于 code.kimi.ai 官网、GitHub MoonshotAI\u002FKimi-K2.7-Code 仓库、月之暗面官方文档与技术报告整理。K2.7 Code 模型仍在快速迭代，参数和价格请以最新官方信息为准。",[24,61,62],{"id":62},"核心能力",[64,65,67],"h3",{"id":66},"k27-code万亿参数开源编程模型","K2.7 Code：万亿参数开源编程模型",[36,69,70,71,78],{},"Kimi Code 的核心是 ",[72,73,77],"a",{"href":74,"rel":75},"https:\u002F\u002Fgithub.com\u002FMoonshotAI\u002FKimi-K2.7-Code",[76],"nofollow","K2.7 Code 模型","，2026 年 6 月正式开源。关键参数：",[80,81,82,89,95,101,107],"ul",{},[83,84,85,88],"li",{},[39,86,87],{},"1.1 万亿参数","（1.1T），MoE 架构，激活参数约 60B",[83,90,91,94],{},[39,92,93],{},"256K 上下文","——能整库塞进单次对话，长程改造不丢前文",[83,96,97,100],{},[39,98,99],{},"代码专项优化","——在 HumanEval、SWE-Bench、LiveCodeBench 等编程基准上对标 Claude Sonnet 4",[83,102,103,106],{},[39,104,105],{},"过度思考问题改善","——上代 K2 常被吐槽\"想太多、token 烧太快\"，K2.7 在保持质量的同时把冗余推理压了下去，单任务 token 消耗降约 30%",[83,108,109,112],{},[39,110,111],{},"MIT 级开源协议","，权重可下载、可自托管、可商用",[36,114,115],{},"这套模型既是 Kimi Code CLI 的默认大脑，也能独立部署——你可以拿 K2.7 Code 接 OpenCode、Aider，甚至自建一套完全离线的国产 Agent 栈。这种\"模型 + Agent 双开源\"的姿态，在国内大厂里是头一份。",[64,117,119],{"id":118},"长程任务能力逼近-claude-code","长程任务能力：逼近 Claude Code",[36,121,122,123,126],{},"Kimi Code 主打的卖点是 ",[39,124,125],{},"长程任务（long-horizon task）","——那种需要 30 分钟以上、跨多文件、多轮工具调用的复杂改造。256K 上下文 + 改进后的推理节奏，让它能撑住\"Claude Code 式\"的自主任务：",[128,129,134],"pre",{"className":130,"code":131,"language":132,"meta":133,"style":133},"language-bash shiki shiki-themes github-light github-dark","cd your-project\nkimi-code                       # 进入交互模式\n> 把这个 Vue2 项目整体升级到 Vue3，保留所有业务逻辑，跑通 e2e 测试\n","bash","",[135,136,137,150,161],"code",{"__ignoreMap":133},[138,139,142,146],"span",{"class":140,"line":141},"line",1,[138,143,145],{"class":144},"sj4cs","cd",[138,147,149],{"class":148},"sZZnC"," your-project\n",[138,151,153,157],{"class":140,"line":152},2,[138,154,156],{"class":155},"sScJk","kimi-code",[138,158,160],{"class":159},"sJ8bj","                       # 进入交互模式\n",[138,162,164,168],{"class":140,"line":163},3,[138,165,167],{"class":166},"szBVR",">",[138,169,171],{"class":170},"sVt8B"," 把这个 Vue2 项目整体升级到 Vue3，保留所有业务逻辑，跑通 e2e 测试\n",[36,173,174],{},"它会自动：梳理依赖 → 列出影响范围 → 分批改写 → 跑测试 → 修回归。实测在中等规模代码库（5-10 万行）上，K2.7 Code 的任务完成率与 Claude Sonnet 4 接近，部分中文注释密集的项目甚至更好——因为理解中文需求描述更准。",[36,176,177,178,181,182,185,186,189],{},"不过要注意，",[39,179,180],{},"超长任务（>1 小时）的稳定性仍弱于 Claude Code","。Claude Code 有 ",[135,183,184],{},"\u002Fcompact"," 上下文压缩、子代理隔离、checkpoint 回滚一套成熟机制；Kimi Code 这套工具还在补齐，偶发 context 漂移需要手动 ",[135,187,188],{},"\u002Fclear"," 重来。",[64,191,192],{"id":192},"多模态编程",[36,194,195],{},"K2.7 Code 是多模态模型——支持图像输入。这意味着你可以截图一个 UI bug、贴一段报错截图、甚至丢一张架构图，让它\"看着改\"：",[128,197,199],{"className":130,"code":198,"language":132,"meta":133,"style":133},"> 这张报错截图里的栈追踪，定位到对应代码并修复\n[附图：screenshot.png]\n",[135,200,201,208],{"__ignoreMap":133},[138,202,203,205],{"class":140,"line":141},[138,204,167],{"class":166},[138,206,207],{"class":170}," 这张报错截图里的栈追踪，定位到对应代码并修复\n",[138,209,210],{"class":140,"line":152},[138,211,212],{"class":170},"[附图：screenshot.png]\n",[36,214,215],{},"对前端调试、运维排障这类\"看图说话\"场景，比纯文本模型实用。Claude Code 同样支持多模态，但 K2.7 Code 的中文 OCR + 中文场景理解更贴合国内开发。",[64,217,219],{"id":218},"一行命令安装国内零门槛","一行命令安装，国内零门槛",[36,221,222],{},"Kimi Code 的安装刻意做成了\"国内友好\"——不需要海外手机、不需要海外卡、不需要代理：",[128,224,226],{"className":130,"code":225,"language":132,"meta":133,"style":133},"# 一行命令安装\ncurl -fsSL https:\u002F\u002Fcode.kimi.ai\u002Finstall.sh | bash\n\n# 或 npm\nnpm install -g kimi-code\n\n# 用 Kimi 账号登录（微信扫码即可），或填 Moonshot API key\nkimi-code auth login\n\n# 进项目\ncd your-project\nkimi-code                        # 启动\n",[135,227,228,233,250,256,262,277,282,288,299,304,310,317],{"__ignoreMap":133},[138,229,230],{"class":140,"line":141},[138,231,232],{"class":159},"# 一行命令安装\n",[138,234,235,238,241,244,247],{"class":140,"line":152},[138,236,237],{"class":155},"curl",[138,239,240],{"class":144}," -fsSL",[138,242,243],{"class":148}," https:\u002F\u002Fcode.kimi.ai\u002Finstall.sh",[138,245,246],{"class":166}," |",[138,248,249],{"class":155}," bash\n",[138,251,252],{"class":140,"line":163},[138,253,255],{"emptyLinePlaceholder":254},true,"\n",[138,257,259],{"class":140,"line":258},4,[138,260,261],{"class":159},"# 或 npm\n",[138,263,265,268,271,274],{"class":140,"line":264},5,[138,266,267],{"class":155},"npm",[138,269,270],{"class":148}," install",[138,272,273],{"class":144}," -g",[138,275,276],{"class":148}," kimi-code\n",[138,278,280],{"class":140,"line":279},6,[138,281,255],{"emptyLinePlaceholder":254},[138,283,285],{"class":140,"line":284},7,[138,286,287],{"class":159},"# 用 Kimi 账号登录（微信扫码即可），或填 Moonshot API key\n",[138,289,291,293,296],{"class":140,"line":290},8,[138,292,156],{"class":155},[138,294,295],{"class":148}," auth",[138,297,298],{"class":148}," login\n",[138,300,302],{"class":140,"line":301},9,[138,303,255],{"emptyLinePlaceholder":254},[138,305,307],{"class":140,"line":306},10,[138,308,309],{"class":159},"# 进项目\n",[138,311,313,315],{"class":140,"line":312},11,[138,314,145],{"class":144},[138,316,149],{"class":148},[138,318,320,322],{"class":140,"line":319},12,[138,321,156],{"class":155},[138,323,324],{"class":159},"                        # 启动\n",[36,326,327],{},"登录走国内账号体系，API 计费支持支付宝\u002F微信。对一直被 Claude Code\"账号+支付+网络\"三关劝退的国内开发者，这是质变的体验差。",[24,329,330],{"id":330},"使用体验",[64,332,333],{"id":333},"日常体感",[36,335,336],{},"实测下来，Kimi Code 的交互范式和 Claude Code 高度相似——终端对话、slash 命令、工具调用审批、diff 预览。从 Claude Code 迁移过来几乎没有学习成本，命令名都接近。",[36,338,339,340,343],{},"最直观的差异在 ",[39,341,342],{},"中文","：让它写中文 commit message、生成中文 API 文档、根据中文 PRD 拆任务，K2.7 Code 的输出明显比 Claude \u002F GPT 更地道，不会有那种\"翻译腔\"。中文注释密集的老项目维护，体验尤其好。",[36,345,346,349],{},[39,347,348],{},"Token 成本","是另一个爽点。同样的编码量，K2.7 Code 的 API 费用大约是 Claude Sonnet 4 的 1\u002F3-1\u002F2（叠加 token 消耗降 30% 的红利），单月重度使用可能只要几十块人民币。对个人开发者，这是\"用得起\"和\"用得好\"的平衡点。",[64,351,352],{"id":352},"短板",[80,354,355,361,371,377],{},[83,356,357,360],{},[39,358,359],{},"英文\u002F国际化项目","：纯英文代码库的表现略逊 Claude\u002FGPT，偶有英文表达不自然",[83,362,363,366,367,370],{},[39,364,365],{},"插件生态","：第三方工具、LSP 集成、自定义命令还在起步，远不如 Claude Code 的 ",[135,368,369],{},".claude\u002Fcommands\u002F"," 体系",[83,372,373,376],{},[39,374,375],{},"MCP 支持","：能接，但成熟度和文档完善度不如 Claude Code（MCP 毕竟是 Anthropic 自家协议）",[83,378,379,382],{},[39,380,381],{},"开源版自托管门槛","：1.1T 参数模型对显卡要求高，个人\u002F小团队自托管不现实，多数人还是走官方 API",[24,384,385],{"id":385},"价格与运行成本",[36,387,388,389,392],{},"Kimi Code 工具本体 ",[39,390,391],{},"免费","。成本来自 K2.7 Code 模型的 API 调用（BYOK 或官方 API）：",[394,395,396,412],"table",{},[397,398,399],"thead",{},[400,401,402,406,409],"tr",{},[403,404,405],"th",{},"路径",[403,407,408],{},"价格",[403,410,411],{},"适用场景",[413,414,415,429,442],"tbody",{},[400,416,417,423,426],{},[418,419,420],"td",{},[39,421,422],{},"Kimi 官方 API",[418,424,425],{},"输入 ¥8 \u002F 输出 ¥32 每百万 token（较上代降 30%）",[418,427,428],{},"国内最省心，微信支付",[400,430,431,436,439],{},[418,432,433],{},[39,434,435],{},"自托管 K2.7 Code",[418,437,438],{},"免费（需硬件）",[418,440,441],{},"大企业 \u002F 研究机构，需多卡 A100\u002FH100",[400,443,444,449,452],{},[418,445,446],{},[39,447,448],{},"第三方中转",[418,450,451],{},"按量，通常更便宜",[418,453,454],{},"灵活，但稳定性参差",[36,456,457],{},"对比 Claude Code：Claude Sonnet 4 输入 $3 \u002F 输出 $15 每百万 token（约 ¥21 \u002F ¥107），K2.7 Code 输入 ¥8 \u002F 输出 ¥32，价格约为其 1\u002F3。叠加 token 消耗降 30%，单任务综合成本能压到 Claude 的 1\u002F4 左右。对每天编码 4+ 小时的重度用户，月度差距可能从几百美元缩到几十块人民币。",[24,459,411],{"id":411},[80,461,462,468,474,480,486],{},[83,463,464,467],{},[39,465,466],{},"国内开发者","：不想折腾海外账号、海外卡、代理，微信扫码即用",[83,469,470,473],{},[39,471,472],{},"中文为主的项目","：中文注释、中文文档、中文 PRD，K2.7 Code 母语级理解",[83,475,476,479],{},[39,477,478],{},"大代码库长程改造","：256K 上下文能整库塞进去，跨文件重构不丢前文",[83,481,482,485],{},[39,483,484],{},"预算敏感但要不将就","：想要接近 Claude Code 的能力，又不想月烧 $100+",[83,487,488,491],{},[39,489,490],{},"国产化 \u002F 信创要求","：需要国产模型 + 可自托管的 Agent 方案",[24,493,494],{"id":494},"不适用场景",[80,496,497,503,509,515,521],{},[83,498,499,502],{},[39,500,501],{},"纯英文\u002F国际化项目","：英文表现不如 Claude\u002FGPT，commit message 和文档可能不够 native",[83,504,505,508],{},[39,506,507],{},"重度插件依赖","：生态早期，第三方工具和自定义命令体系不如 Claude Code",[83,510,511,514],{},[39,512,513],{},"企业级稳定 SLA","：开源版本无承诺，官方 API 也有偶发限流",[83,516,517,520],{},[39,518,519],{},"IDE 内 inline 补全","：CLI Agent 不是补全器，要 Tab 补全去 Copilot\u002FCursor",[83,522,523,526],{},[39,524,525],{},"个人自托管","：1.1T 参数模型硬件门槛高，个人玩不动",[24,528,529],{"id":529},"与同类怎么选",[394,531,532,559],{},[397,533,534],{},[400,535,536,539,541,547,553],{},[403,537,538],{},"维度",[403,540,12],{},[403,542,543],{},[72,544,546],{"href":545},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code",[403,548,549],{},[72,550,552],{"href":551},"\u002Fcoding\u002Fcli\u002Fopencode.html","OpenCode",[403,554,555],{},[72,556,558],{"href":557},"\u002Fcoding\u002Fcli\u002Fmimo-code.html","MiMo Code",[413,560,561,576,593,608,622,638,652,669],{},[400,562,563,566,569,571,574],{},[418,564,565],{},"形态",[418,567,568],{},"CLI",[418,570,568],{},[418,572,573],{},"CLI（TUI）",[418,575,568],{},[400,577,578,581,584,587,590],{},[418,579,580],{},"模型",[418,582,583],{},"K2.7 Code（开源）",[418,585,586],{},"Claude 系（闭源）",[418,588,589],{},"75+ 任选",[418,591,592],{},"MiMo（开源 MIT）",[400,594,595,598,601,604,606],{},[418,596,597],{},"中文体验",[418,599,600],{},"★★★★★",[418,602,603],{},"★★★☆☆",[418,605,603],{},[418,607,600],{},[400,609,610,613,616,618,620],{},[418,611,612],{},"长程任务",[418,614,615],{},"★★★★☆",[418,617,600],{},[418,619,615],{},[418,621,615],{},[400,623,624,627,630,633,636],{},[418,625,626],{},"上下文",[418,628,629],{},"256K",[418,631,632],{},"200K",[418,634,635],{},"看模型",[418,637,635],{},[400,639,640,642,645,647,649],{},[418,641,365],{},[418,643,644],{},"★★★☆☆ 早期",[418,646,600],{},[418,648,615],{},[418,650,651],{},"★★☆☆☆ V0.1",[400,653,654,657,660,663,666],{},[418,655,656],{},"国内门槛",[418,658,659],{},"★★★★★ 极低",[418,661,662],{},"★☆☆☆☆ 高",[418,664,665],{},"★★★★☆ 低",[418,667,668],{},"★★★★★ 低",[400,670,671,673,676,679,682],{},[418,672,408],{},[418,674,675],{},"极低（国产 API）",[418,677,678],{},"$20-$200\u002F月",[418,680,681],{},"免费（BYOK）",[418,683,684],{},"免费（MIT）",[36,686,687,690],{},[39,688,689],{},"选 Kimi Code 如果你","：",[80,692,693,696,699,702],{},[83,694,695],{},"国内开发者，受够了海外账号和支付",[83,697,698],{},"项目中文为主，想要母语级编程体验",[83,700,701],{},"要 256K 长上下文跑大库改造",[83,703,704],{},"预算敏感但不想将就能力",[36,706,707,690],{},[39,708,709],{},"别选 Kimi Code 如果你",[80,711,712,715,718],{},[83,713,714],{},"纯英文国际化项目（Claude\u002FGPT 更 native）",[83,716,717],{},"重度依赖插件和 MCP 生态（生态还在早期）",[83,719,720],{},"要企业级稳定承诺（开源版无 SLA）",[24,722,724],{"id":723},"faq","FAQ",[36,726,727,730],{},[39,728,729],{},"Q：Kimi Code 真的免费吗？","\nA：工具本体免费。K2.7 Code 模型开源可自托管（免费但需硬件）。走官方 API 按 token 计费，但价格远低于 Claude\u002FGPT，且支持微信支付。",[36,732,733,736,737,739],{},[39,734,735],{},"Q：和 Claude Code 比，K2.7 Code 差多少？","\nA：编程基准接近，中文场景甚至更好；长程任务稳定性、上下文管理工具（",[135,738,184],{}," 等）、插件生态仍落后。简单说：能力够用，工具链和成熟度在追赶。",[36,741,742,745],{},[39,743,744],{},"Q：能自托管吗？硬件要求？","\nA：能，模型权重开源。但 1.1T 参数 MoE，推理需要多卡高端 GPU（A100\u002FH100 级），个人不现实，主要面向企业和研究机构。",[36,747,748,751],{},[39,749,750],{},"Q：和 MiMo Code 怎么选？","\nA：都是国产开源 CLI Agent。Kimi Code 胜在模型成熟度（K2.7 已迭代多代）和中文长上下文；MiMo Code 胜在 SWE-Bench 基准分数和 MIT 协议彻底开源，但仅 V0.1。要稳选 Kimi，要尝鲜选 MiMo。",[36,753,754,757],{},[39,755,756],{},"Q：能接其他模型吗？","\nA：Kimi Code CLI 主要为 K2.7 Code 优化，但也兼容 OpenAI 接口格式，可接其他模型。不过最佳体验还是配 K2.7 Code。",[36,759,760,763],{},[39,761,762],{},"Q：支持 MCP 吗？","\nA：支持，能接 MCP server 调数据库、浏览器等工具。但文档和成熟度不如 Claude Code，配置需要一定动手能力。",[24,765,766],{"id":766},"相关阅读",[80,768,769,783,802,817],{},[83,770,771,772,774,775,774,777,774,779],{},"同类对比：",[72,773,546],{"href":545}," \u002F ",[72,776,552],{"href":551},[72,778,558],{"href":557},[72,780,782],{"href":781},"\u002Fcoding\u002Fcli\u002Fqwen-code.html","Qwen Code",[83,784,785,786,774,790,774,794,774,798],{},"概念：",[72,787,789],{"href":788},"\u002Fwiki\u002Fai-agent.html","AI Agent",[72,791,793],{"href":792},"\u002Fwiki\u002Fmcp.html","MCP",[72,795,797],{"href":796},"\u002Fwiki\u002Flong-context.html","Long Context",[72,799,801],{"href":800},"\u002Fwiki\u002Fmoe.html","MoE 架构",[83,803,804,805,774,809,774,813],{},"模型：",[72,806,808],{"href":807},"\u002Fmodels\u002Fkimi-k2.7-code.html","Kimi K2.7 Code",[72,810,812],{"href":811},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4",[72,814,816],{"href":815},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[83,818,819,820,774,824],{},"进阶：",[72,821,823],{"href":822},"\u002Fwiki\u002Fvibe-coding.html","Vibe Coding",[72,825,827],{"href":826},"\u002Fwiki\u002Fcn-coding-models.html","国产大模型编程",[24,829,830],{"id":830},"来源",[80,832,833,840,846,853],{},[83,834,835,836],{},"官网：",[72,837,838],{"href":838,"rel":839},"https:\u002F\u002Fcode.kimi.ai",[76],[83,841,842,843],{},"开源仓库：",[72,844,74],{"href":74,"rel":845},[76],[83,847,848,849],{},"月之暗面平台：",[72,850,851],{"href":851,"rel":852},"https:\u002F\u002Fplatform.moonshot.cn\u002Fdocs",[76],[83,854,855,856],{},"定价：",[72,857,858],{"href":858,"rel":859},"https:\u002F\u002Fplatform.moonshot.cn\u002Fpricing",[76],[36,861,862,863,867],{},"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 ",[72,864,866],{"href":865},"mailto:hello@aiho.net","反馈邮箱"," 反馈。",[869,870,871],"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":133,"searchDepth":163,"depth":163,"links":873},[874,875,881,885,886,887,888,889,890,891],{"id":26,"depth":152,"text":27},{"id":62,"depth":152,"text":62,"children":876},[877,878,879,880],{"id":66,"depth":163,"text":67},{"id":118,"depth":163,"text":119},{"id":192,"depth":163,"text":192},{"id":218,"depth":163,"text":219},{"id":330,"depth":152,"text":330,"children":882},[883,884],{"id":333,"depth":163,"text":333},{"id":352,"depth":163,"text":352},{"id":385,"depth":152,"text":385},{"id":411,"depth":152,"text":411},{"id":494,"depth":152,"text":494},{"id":529,"depth":152,"text":529},{"id":723,"depth":152,"text":724},{"id":766,"depth":152,"text":766},{"id":830,"depth":152,"text":830},"cli","\u002Fimg\u002Ftools\u002Fkimi-code.webp","Kimi Code 2026 真实评测：月之暗面推出的国产 CLI Agent，搭载开源 K2.7 Code 万亿参数模型，256K 上下文、Token 成本降 30%、中文编程体验一流。本文整理安装使用、长程任务能力、多模态编程、价格、与 Claude Code \u002F MiMo Code 的区别。",false,"md",[898,899],"zh","en",{},[902],"kimi-k2.7-code",[904,905,906,907],"纯英文\u002F国际化项目（英文表现不如 Claude\u002FGPT）","需要丰富插件生态和 MCP 工具链（生态尚早期）","要求企业级 SLA 与稳定承诺的开源版本","IDE 内 inline 补全场景（CLI 工具非补全器）","\u002Ftools\u002Fcoding\u002Fcli\u002Fkimi-code","coding",[911,912,913],"macos","linux","windows",[915,919,924],{"plan":916,"price":391,"limit":917,"cn_pay":918,"note":435},"开源模型（BYOK）","仅承担 API token 成本","✅ 支付宝\u002F微信",{"plan":422,"price":920,"limit":921,"cn_pay":922,"note":923},"按 token 计费","输入 ¥8 \u002F 输出 ¥32 每百万 token","✅ 国内支付","成本较上代降 30%",{"plan":925,"price":391,"limit":926,"cn_pay":927,"note":928},"Kimi Code CLI","工具本体免费","✅ 无需支付","一行命令安装","免费（开源模型，BYOK）","2026-07-04",{"power":258,"ux":258,"price":264,"cn_support":264,"stability":258},{"title":12,"description":894},"Kimi Code 评测 2026：月之暗面 K2.7 Code 开源，万亿参数 256K 上下文国产 CLI Agent","coding\u002Fcli\u002Fkimi-code",[936,938,940,942,945],{"title":937,"url":838},"Kimi Code 官网",{"title":939,"url":74},"Kimi-K2.7-Code 开源仓库",{"title":941,"url":851},"月之暗面官方文档",{"title":943,"url":944},"K2.7 Code 技术报告","https:\u002F\u002Fgithub.com\u002FMoonshotAI\u002FKimi-K2.7-Code\u002Fblob\u002Fmain\u002FREADME.md",{"title":946,"url":858},"Kimi Code 定价","tools\u002Fcoding\u002Fcli\u002Fkimi-code",[949,950,951,952,953],"国内开发者，不想折腾海外账号和支付","中文项目 \u002F 注释 \u002F 文档为主的代码库","需要超长上下文（256K）跑大代码库改造","预算敏感但想要接近 Claude Code 的长程任务能力","想自托管国产开源大模型编程 Agent 的团队","月之暗面 AI 编程助手，K2.7 Code 模型开源，万亿参数 256K 上下文",[892,956,957,18,958,959,960],"agent","terminal","opensource","chinese","long-context","国产 CLI Agent 新贵。K2.7 Code 万亿参数开源、256K 上下文、Token 成本降 30%、中文编程体验一流。长程任务能力接近 Claude Code，但生态和插件还差一截。","vvCa6ipszCnFiEhY0VXDpoVX6WVlrJftXcAruTWpgQE",{"id":964,"title":552,"alternatives":965,"api_compatible":968,"body":973,"category":892,"chinese_friendly":163,"cover":1986,"description":1987,"domestic":895,"extension":896,"faq":9,"free":895,"github":1249,"languages":1988,"lastVerified":9,"meta":1989,"models":1990,"navigation":254,"notSuitable":1997,"opensource":254,"path":2002,"pillar":909,"platforms":2003,"priceTable":2004,"pricing":2018,"published":930,"relatedPlaybooks":9,"relatedReviews":9,"score":2019,"self_host":254,"seo":2020,"seoTitle":2021,"slug":15,"sources":2022,"stem":2033,"suitable":2034,"tagline":2040,"tags":2041,"updated":930,"verdict":2044,"website":1930,"__hash__":2045},"tools\u002Ftools\u002Fcoding\u002Fcli\u002Fopencode.md",[14,966,967],"coding\u002Fcli\u002Fcodex","coding\u002Fcli\u002Faider",[969,19,970,971,972],"anthropic","google","openrouter","ollama",{"type":21,"value":974,"toc":1965},[975,977,995,1000,1002,1006,1013,1038,1041,1048,1052,1059,1097,1104,1216,1223,1227,1230,1240,1244,1253,1256,1258,1262,1423,1425,1439,1446,1448,1458,1460,1467,1538,1541,1548,1550,1582,1584,1618,1620,1785,1790,1804,1809,1829,1831,1837,1846,1852,1858,1864,1870,1872,1922,1924,1959,1963],[24,976,27],{"id":26},[29,978,980,985],{"className":979},[32,33,34],[36,981,982,984],{},[39,983,41],{}," 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。",[36,986,45,987,990,991,994],{},[39,988,989],{},"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 ",[39,992,993],{},"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。",[55,996,997],{},[36,998,999],{},"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。",[24,1001,62],{"id":62},[64,1003,1005],{"id":1004},"终端原生-tui多会话并行","终端原生 TUI，多会话并行",[36,1007,1008,1009,1012],{},"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 ",[135,1010,1011],{},"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。",[128,1014,1016],{"className":130,"code":1015,"language":132,"meta":133,"style":133},"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",[135,1017,1018,1024,1031],{"__ignoreMap":133},[138,1019,1020,1022],{"class":140,"line":141},[138,1021,145],{"class":144},[138,1023,149],{"class":148},[138,1025,1026,1028],{"class":140,"line":152},[138,1027,1011],{"class":155},[138,1029,1030],{"class":159},"                       # 进入 TUI 交互模式\n",[138,1032,1033,1035],{"class":140,"line":163},[138,1034,167],{"class":166},[138,1036,1037],{"class":170}," 把这个 Express 项目迁移到 Fastify，跑通测试再提交\n",[36,1039,1040],{},"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。",[36,1042,1043,1044,1047],{},"TUI 之外，OpenCode 还支持 ",[39,1045,1046],{},"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。",[64,1049,1051],{"id":1050},"_75-模型-byok一个-agent-全通吃","75+ 模型 BYOK，一个 Agent 全通吃",[36,1053,1054,1055,1058],{},"OpenCode 最硬的能力是 ",[39,1056,1057],{},"模型中立","。它不绑死任何厂商，通过 provider 配置接入 75+ 模型，包括：",[80,1060,1061,1067,1073,1079,1085,1091],{},[83,1062,1063,1066],{},[39,1064,1065],{},"Anthropic","：Claude Opus 4 \u002F Sonnet 4 \u002F Haiku 4 全系",[83,1068,1069,1072],{},[39,1070,1071],{},"OpenAI","：GPT-5 \u002F GPT-4.1 \u002F o 系列推理模型",[83,1074,1075,1078],{},[39,1076,1077],{},"Google","：Gemini 2.5 Pro \u002F Flash",[83,1080,1081,1084],{},[39,1082,1083],{},"国产","：DeepSeek-V3、Qwen-Max、GLM-5、Kimi K2",[83,1086,1087,1090],{},[39,1088,1089],{},"本地","：Ollama、LM Studio 任何 GGUF 模型",[83,1092,1093,1096],{},[39,1094,1095],{},"中转","：OpenRouter \u002F 火山引擎 \u002F 硅基流动 一个 key 调全部",[36,1098,1099,1100,1103],{},"配置写在 ",[135,1101,1102],{},"opencode.json"," 里，按模型 \u002F 按场景 \u002F 按成本分配：",[128,1105,1109],{"className":1106,"code":1107,"language":1108,"meta":133,"style":133},"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",[135,1110,1111,1116,1124,1155,1180,1206,1211],{"__ignoreMap":133},[138,1112,1113],{"class":140,"line":141},[138,1114,1115],{"class":170},"{\n",[138,1117,1118,1121],{"class":140,"line":152},[138,1119,1120],{"class":144},"  \"models\"",[138,1122,1123],{"class":170},": {\n",[138,1125,1126,1129,1132,1135,1138,1141,1144,1147,1149,1152],{"class":140,"line":163},[138,1127,1128],{"class":144},"    \"hard\"",[138,1130,1131],{"class":170},": { ",[138,1133,1134],{"class":144},"\"provider\"",[138,1136,1137],{"class":170},": ",[138,1139,1140],{"class":148},"\"anthropic\"",[138,1142,1143],{"class":170},", ",[138,1145,1146],{"class":144},"\"model\"",[138,1148,1137],{"class":170},[138,1150,1151],{"class":148},"\"claude-sonnet-4\"",[138,1153,1154],{"class":170}," },\n",[138,1156,1157,1160,1162,1164,1166,1169,1171,1173,1175,1178],{"class":140,"line":258},[138,1158,1159],{"class":144},"    \"cheap\"",[138,1161,1131],{"class":170},[138,1163,1134],{"class":144},[138,1165,1137],{"class":170},[138,1167,1168],{"class":148},"\"deepseek\"",[138,1170,1143],{"class":170},[138,1172,1146],{"class":144},[138,1174,1137],{"class":170},[138,1176,1177],{"class":148},"\"deepseek-v3\"",[138,1179,1154],{"class":170},[138,1181,1182,1185,1187,1189,1191,1194,1196,1198,1200,1203],{"class":140,"line":264},[138,1183,1184],{"class":144},"    \"local\"",[138,1186,1131],{"class":170},[138,1188,1134],{"class":144},[138,1190,1137],{"class":170},[138,1192,1193],{"class":148},"\"ollama\"",[138,1195,1143],{"class":170},[138,1197,1146],{"class":144},[138,1199,1137],{"class":170},[138,1201,1202],{"class":148},"\"qwen2.5-coder:32b\"",[138,1204,1205],{"class":170}," }\n",[138,1207,1208],{"class":140,"line":279},[138,1209,1210],{"class":170},"  }\n",[138,1212,1213],{"class":140,"line":284},[138,1214,1215],{"class":170},"}\n",[36,1217,1218,1219,1222],{},"之后在 TUI 里用 ",[135,1220,1221],{},"\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。",[64,1224,1226],{"id":1225},"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",[36,1228,1229],{},"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。",[36,1231,1232,1233,1235,1236,1239],{},"它同样支持 ",[72,1234,793],{"href":792}," 协议——配置 ",[135,1237,1238],{},".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。",[64,1241,1243],{"id":1242},"开源-自托管","开源 + 自托管",[36,1245,1246,1247,1252],{},"OpenCode 是 ",[72,1248,1251],{"href":1249,"rel":1250},"https:\u002F\u002Fgithub.com\u002Fsst\u002Fopencode",[76],"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。",[36,1254,1255],{},"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。",[24,1257,330],{"id":330},[64,1259,1261],{"id":1260},"上手-5-分钟","上手 5 分钟",[128,1263,1265],{"className":130,"code":1264,"language":132,"meta":133,"style":133},"# 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",[135,1266,1267,1272,1285,1289,1294,1307,1311,1316,1327,1331,1336,1343,1347,1353,1368,1381,1397,1402,1408,1415],{"__ignoreMap":133},[138,1268,1269],{"class":140,"line":141},[138,1270,1271],{"class":159},"# macOS \u002F Linux\n",[138,1273,1274,1276,1278,1281,1283],{"class":140,"line":152},[138,1275,237],{"class":155},[138,1277,240],{"class":144},[138,1279,1280],{"class":148}," https:\u002F\u002Fopencode.ai\u002Finstall.sh",[138,1282,246],{"class":166},[138,1284,249],{"class":155},[138,1286,1287],{"class":140,"line":163},[138,1288,255],{"emptyLinePlaceholder":254},[138,1290,1291],{"class":140,"line":258},[138,1292,1293],{"class":159},"# Windows PowerShell\n",[138,1295,1296,1299,1302,1304],{"class":140,"line":264},[138,1297,1298],{"class":155},"irm",[138,1300,1301],{"class":148}," https:\u002F\u002Fopencode.ai\u002Finstall.ps1",[138,1303,246],{"class":166},[138,1305,1306],{"class":155}," iex\n",[138,1308,1309],{"class":140,"line":279},[138,1310,255],{"emptyLinePlaceholder":254},[138,1312,1313],{"class":140,"line":284},[138,1314,1315],{"class":159},"# 或 npm 全局安装（需 Node 18+）\n",[138,1317,1318,1320,1322,1324],{"class":140,"line":290},[138,1319,267],{"class":155},[138,1321,270],{"class":148},[138,1323,273],{"class":144},[138,1325,1326],{"class":148}," opencode\n",[138,1328,1329],{"class":140,"line":301},[138,1330,255],{"emptyLinePlaceholder":254},[138,1332,1333],{"class":140,"line":306},[138,1334,1335],{"class":159},"# 验证\n",[138,1337,1338,1340],{"class":140,"line":312},[138,1339,1011],{"class":155},[138,1341,1342],{"class":144}," --version\n",[138,1344,1345],{"class":140,"line":319},[138,1346,255],{"emptyLinePlaceholder":254},[138,1348,1350],{"class":140,"line":1349},13,[138,1351,1352],{"class":159},"# 配置 API key（任选其一）\n",[138,1354,1356,1359,1362,1365],{"class":140,"line":1355},14,[138,1357,1358],{"class":166},"export",[138,1360,1361],{"class":170}," ANTHROPIC_API_KEY",[138,1363,1364],{"class":166},"=",[138,1366,1367],{"class":170},"sk-ant-...\n",[138,1369,1371,1373,1376,1378],{"class":140,"line":1370},15,[138,1372,1358],{"class":166},[138,1374,1375],{"class":170}," OPENAI_API_KEY",[138,1377,1364],{"class":166},[138,1379,1380],{"class":170},"sk-...\n",[138,1382,1384,1386,1389,1391,1394],{"class":140,"line":1383},16,[138,1385,1358],{"class":166},[138,1387,1388],{"class":170}," OPENROUTER_API_KEY",[138,1390,1364],{"class":166},[138,1392,1393],{"class":170},"sk-or-...      ",[138,1395,1396],{"class":159},"# 一个 key 调 75+ 模型\n",[138,1398,1400],{"class":140,"line":1399},17,[138,1401,255],{"emptyLinePlaceholder":254},[138,1403,1405],{"class":140,"line":1404},18,[138,1406,1407],{"class":159},"# 进项目启动\n",[138,1409,1411,1413],{"class":140,"line":1410},19,[138,1412,145],{"class":144},[138,1414,149],{"class":148},[138,1416,1418,1420],{"class":140,"line":1417},20,[138,1419,1011],{"class":155},[138,1421,1422],{"class":159},"                          # 进入 TUI\n",[64,1424,333],{"id":333},[36,1426,1427,1428,1431,1432,1434,1435,1438],{},"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 ",[135,1429,1430],{},"\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 ",[135,1433,1221],{}," 上 Sonnet，跑完切 ",[135,1436,1437],{},"\u002Fmodel cheap"," 让 DeepSeek 补文档，成本可控。",[36,1440,1441,1442,1445],{},"但 ",[39,1443,1444],{},"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。",[64,1447,993],{"id":993},[36,1449,1450,1451,1453,1454,1457],{},"第一次配 ",[135,1452,1102],{}," 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 ",[135,1455,1456],{},"claude"," 一键启动确实更省心。",[24,1459,385],{"id":385},[36,1461,1462,1463,1466],{},"OpenCode 本身 ",[39,1464,1465],{},"完全免费","——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：",[394,1468,1469,1481],{},[397,1470,1471],{},[400,1472,1473,1476,1479],{},[403,1474,1475],{},"接入方式",[403,1477,1478],{},"单月成本估算",[403,1480,411],{},[413,1482,1483,1494,1505,1516,1527],{},[400,1484,1485,1488,1491],{},[418,1486,1487],{},"DeepSeek-V3（国产）",[418,1489,1490],{},"¥20-100",[418,1492,1493],{},"日常编码，性价比之王",[400,1495,1496,1499,1502],{},[418,1497,1498],{},"Claude Sonnet 4（直连）",[418,1500,1501],{},"$50-300",[418,1503,1504],{},"跑难活，最接近 Claude Code 体验",[400,1506,1507,1510,1513],{},[418,1508,1509],{},"OpenRouter 中转",[418,1511,1512],{},"$10-100",[418,1514,1515],{},"一个 key 切多模型",[400,1517,1518,1521,1524],{},[418,1519,1520],{},"本地 Ollama",[418,1522,1523],{},"¥0（电费）",[418,1525,1526],{},"隐私 \u002F 离线 \u002F 实验",[400,1528,1529,1532,1535],{},[418,1530,1531],{},"GPT-5（直连）",[418,1533,1534],{},"$30-200",[418,1536,1537],{},"代码审查、推理任务",[36,1539,1540],{},"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。",[36,1542,1543,1544,1547],{},"但要注意 ",[39,1545,1546],{},"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。",[24,1549,411],{"id":411},[80,1551,1552,1558,1564,1570,1576],{},[83,1553,1554,1557],{},[39,1555,1556],{},"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",[83,1559,1560,1563],{},[39,1561,1562],{},"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",[83,1565,1566,1569],{},[39,1567,1568],{},"Vim \u002F Neovim \u002F tmux 重度用户","：终端原生 TUI，不破坏既有工作流",[83,1571,1572,1575],{},[39,1573,1574],{},"需要自托管 \u002F 隐私的团队","：MIT 开源 + 本地模型，数据不出内网",[83,1577,1578,1581],{},[39,1579,1580],{},"Claude Code 想找平替","：交互逻辑接近，迁移成本低，省下订阅费",[24,1583,494],{"id":494},[80,1585,1586,1595,1601,1606,1612],{},[83,1587,1588,1591,1592,1594],{},[39,1589,1590],{},"零配置开箱即用","：多模型路由要折腾 ",[135,1593,1102],{},"，新手劝退",[83,1596,1597,1600],{},[39,1598,1599],{},"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",[83,1602,1603,1605],{},[39,1604,519],{},"：OpenCode 是 Agent 不是补全器，要 Tab 补全去 Cursor \u002F Copilot",[83,1607,1608,1611],{},[39,1609,1610],{},"纯 Windows 原生","：TUI 在 Windows Terminal 可用，但部分功能建议 WSL",[83,1613,1614,1617],{},[39,1615,1616],{},"不碰终端的用户","：这是 CLI 工具，全程命令行交互",[24,1619,529],{"id":529},[394,1621,1622,1646],{},[397,1623,1624],{},[400,1625,1626,1628,1630,1634,1640],{},[403,1627,538],{},[403,1629,552],{},[403,1631,1632],{},[72,1633,546],{"href":545},[403,1635,1636],{},[72,1637,1639],{"href":1638},"\u002Fcoding\u002Fcli\u002Fcodex.html","Codex CLI",[403,1641,1642],{},[72,1643,1645],{"href":1644},"\u002Fcoding\u002Fcli\u002Faider.html","Aider",[413,1647,1648,1660,1677,1692,1705,1718,1732,1744,1756,1771],{},[400,1649,1650,1652,1654,1656,1658],{},[418,1651,565],{},[418,1653,573],{},[418,1655,568],{},[418,1657,568],{},[418,1659,568],{},[400,1661,1662,1665,1668,1671,1674],{},[418,1663,1664],{},"开源",[418,1666,1667],{},"✅ MIT",[418,1669,1670],{},"❌",[418,1672,1673],{},"✅",[418,1675,1676],{},"✅ Apache",[400,1678,1679,1681,1684,1687,1690],{},[418,1680,989],{},[418,1682,1683],{},"★★★★★ 75+",[418,1685,1686],{},"★☆☆☆☆ 仅 Claude",[418,1688,1689],{},"★★★★☆ OpenAI 系",[418,1691,600],{},[400,1693,1694,1697,1699,1701,1703],{},[418,1695,1696],{},"长任务能力",[418,1698,615],{},[418,1700,600],{},[418,1702,615],{},[418,1704,603],{},[400,1706,1707,1710,1712,1714,1716],{},[418,1708,1709],{},"TUI 体验",[418,1711,600],{},[418,1713,615],{},[418,1715,603],{},[418,1717,603],{},[400,1719,1720,1722,1724,1727,1730],{},[418,1721,1046],{},[418,1723,1673],{},[418,1725,1726],{},"子代理",[418,1728,1729],{},"⚠️ 有限",[418,1731,1670],{},[400,1733,1734,1736,1738,1740,1742],{},[418,1735,375],{},[418,1737,615],{},[418,1739,600],{},[418,1741,603],{},[418,1743,1670],{},[400,1745,1746,1748,1750,1752,1754],{},[418,1747,408],{},[418,1749,681],{},[418,1751,678],{},[418,1753,678],{},[418,1755,681],{},[400,1757,1758,1760,1763,1766,1768],{},[418,1759,656],{},[418,1761,1762],{},"低（国产模型）",[418,1764,1765],{},"高",[418,1767,1765],{},[418,1769,1770],{},"低",[400,1772,1773,1776,1779,1781,1783],{},[418,1774,1775],{},"稳定性",[418,1777,1778],{},"★★★☆☆ 依赖 API",[418,1780,615],{},[418,1782,615],{},[418,1784,615],{},[36,1786,1787,690],{},[39,1788,1789],{},"选 OpenCode 如果你",[80,1791,1792,1795,1798,1801],{},[83,1793,1794],{},"想用 Claude Code 的体验但不想付订阅",[83,1796,1797],{},"需要在多个模型间灵活切换（省钱 \u002F 跑难活 \u002F 隐私）",[83,1799,1800],{},"是 Vim \u002F 终端重度用户，不想装 IDE",[83,1802,1803],{},"团队要自托管，数据不出墙",[36,1805,1806,690],{},[39,1807,1808],{},"别选 OpenCode 如果你",[80,1810,1811,1814,1826],{},[83,1812,1813],{},"要开箱即用、零配置（去 Claude Code \u002F Cursor）",[83,1815,1816,1817,774,1821,1825],{},"要 IDE 内 inline 补全（去 ",[72,1818,1820],{"href":1819},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor",[72,1822,1824],{"href":1823},"\u002Fcoding\u002Fcopilot\u002Fgithub-copilot.html","Copilot","）",[83,1827,1828],{},"企业要求稳定 SLA（开源 + BYOK 抖动难避免）",[24,1830,724],{"id":723},[36,1832,1833,1836],{},[39,1834,1835],{},"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。",[36,1838,1839,1842,1843,1845],{},[39,1840,1841],{},"Q：和 Claude Code 比，差在哪？","\nA：长任务稳定性、上下文管理（Claude Code 的 ",[135,1844,184],{}," 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。",[36,1847,1848,1851],{},[39,1849,1850],{},"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。",[36,1853,1854,1857],{},[39,1855,1856],{},"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。",[36,1859,1860,1863],{},[39,1861,1862],{},"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。",[36,1865,1866,1869],{},[39,1867,1868],{},"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。",[24,1871,766],{"id":766},[80,1873,1874,1886,1900,1914],{},[83,1875,771,1876,774,1878,774,1880,774,1882],{},[72,1877,546],{"href":545},[72,1879,1639],{"href":1638},[72,1881,1645],{"href":1644},[72,1883,1885],{"href":1884},"\u002Fcoding\u002Fcli\u002Fgemini-cli.html","Gemini CLI",[83,1887,785,1888,774,1890,774,1892,774,1896],{},[72,1889,789],{"href":788},[72,1891,793],{"href":792},[72,1893,1895],{"href":1894},"\u002Fwiki\u002Fbyok.html","BYOK",[72,1897,1899],{"href":1898},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[83,1901,804,1902,774,1904,774,1908,774,1910],{},[72,1903,812],{"href":811},[72,1905,1907],{"href":1906},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[72,1909,816],{"href":815},[72,1911,1913],{"href":1912},"\u002Fmodels\u002Fqwen-max.html","Qwen-Max",[83,1915,819,1916,774,1918],{},[72,1917,823],{"href":822},[72,1919,1921],{"href":1920},"\u002Fwiki\u002Fprompt-engineering.html","Prompt Engineering",[24,1923,830],{"id":830},[80,1925,1926,1932,1939,1945,1952],{},[83,1927,835,1928],{},[72,1929,1930],{"href":1930,"rel":1931},"https:\u002F\u002Fopencode.ai",[76],[83,1933,1934,1935],{},"官方文档：",[72,1936,1937],{"href":1937,"rel":1938},"https:\u002F\u002Fopencode.ai\u002Fdocs",[76],[83,1940,1941,1942],{},"GitHub：",[72,1943,1249],{"href":1249,"rel":1944},[76],[83,1946,1947,1948],{},"模型支持：",[72,1949,1950],{"href":1950,"rel":1951},"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fmodels",[76],[83,1953,1954,1955],{},"对比文档：",[72,1956,1957],{"href":1957,"rel":1958},"https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fcomparisons\u002Fclaude-code",[76],[36,1960,862,1961,867],{},[72,1962,866],{"href":865},[869,1964,871],{},{"title":133,"searchDepth":163,"depth":163,"links":1966},[1967,1968,1974,1979,1980,1981,1982,1983,1984,1985],{"id":26,"depth":152,"text":27},{"id":62,"depth":152,"text":62,"children":1969},[1970,1971,1972,1973],{"id":1004,"depth":163,"text":1005},{"id":1050,"depth":163,"text":1051},{"id":1225,"depth":163,"text":1226},{"id":1242,"depth":163,"text":1243},{"id":330,"depth":152,"text":330,"children":1975},[1976,1977,1978],{"id":1260,"depth":163,"text":1261},{"id":333,"depth":163,"text":333},{"id":993,"depth":163,"text":993},{"id":385,"depth":152,"text":385},{"id":411,"depth":152,"text":411},{"id":494,"depth":152,"text":494},{"id":529,"depth":152,"text":529},{"id":723,"depth":152,"text":724},{"id":766,"depth":152,"text":766},{"id":830,"depth":152,"text":830},"\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。",[899],{},[1991,1992,1993,1994,1995,1996],"claude-sonnet-4","gpt-5","gemini-2.5-pro","deepseek-v3","qwen-max","75+ 模型",[1998,1999,2000,2001],"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",[911,912,913],[2005,2009,2013],{"plan":2006,"price":391,"limit":917,"cn_pay":2007,"note":2008},"开源版（BYOK）","✅ 国产模型可用支付宝","自带 API key",{"plan":2010,"price":391,"limit":2011,"cn_pay":927,"note":2012},"本地模型","Ollama \u002F LM Studio 本地跑","适合离线 \u002F 隐私场景",{"plan":1509,"price":2014,"limit":2015,"cn_pay":2016,"note":2017},"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":258,"ux":258,"price":264,"cn_support":163,"stability":163},{"title":552,"description":1987},"OpenCode 评测 2026：开源 AI Coding Agent，Claude Code 免费平替，75+ 模型任意切换",[2023,2025,2027,2029,2031],{"title":2024,"url":1930},"OpenCode 官网",{"title":2026,"url":1937},"OpenCode 官方文档",{"title":2028,"url":1249},"GitHub sst\u002Fopencode",{"title":2030,"url":1950},"OpenCode 模型支持列表",{"title":2032,"url":1957},"OpenCode vs Claude Code 对比","tools\u002Fcoding\u002Fcli\u002Fopencode",[2035,2036,2037,2038,2039],"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",[892,956,957,958,2042,2043],"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",1784565441498]