[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-base44-rolls-out-own-ai-model-zh":3,"article-related-base44-rolls-out-own-ai-model-zh":30,"series-tools-e17aff8d-c92b-4b3d-b3ea-3c8d795c3472":77},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"e17aff8d-c92b-4b3d-b3ea-3c8d795c3472","base44-rolls-out-own-ai-model-zh","Base44 推出自家 AI 模型，年收達 1.5 億美元","\u003Cp data-speakable=\"summary\">Base44 \u003Ca href=\"\u002Fnews\u002Fai-demand-starts-paying-for-data-centers-zh\">開始\u003C\u002Fa>推出自家 AI 模型 Base1，目標是降低推理成本、縮短延遲，並強化 vibe-coding 平台的控制權。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2026\u002F06\u002F29\u002Fvibe-coding-platform-base44-launches-own-model-as-ai-startups-seek-defensibility\u002F\" target=\"_blank\" rel=\"noopener\">Base44\u003C\u002Fa> 在 2026 年 6 月 29 日宣布，已開始向用戶逐步推出自研模型。這家由 \u003Ca href=\"https:\u002F\u002Fwww.wix.com\u002F\" target=\"_blank\" rel=\"noopener\">Wix\u003C\u002Fa> 收購的團隊，想把自然語言生成 app 的核心環節握在自己手裡。\u003C\u002Fp>\u003Cp>公司說，這不只是換一個模型供應商，而是把成本、速度與效率放到同一條產品線上一起優化。對一個靠 AI 生成應用、又要持續放大的平台來說，這種調整直接影響毛利與產品體驗。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>收購價格\u003C\u002Ftd>\u003Ctd>8,000 萬美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>5 月 ARR\u003C\u002Ftd>\u003Ctd>1.5 億美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>兩個月前 ARR\u003C\u002Ftd>\u003Ctd>1 億美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>訓練資料\u003C\u002Ftd>\u003Ctd>數千萬次用戶互動\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Wix 規劃裁員\u003C\u002Ftd>\u003Ctd>20% 員工\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>Base44 的第一個自家 \u003Ca href=\"\u002Ftag\u002Fllm\">LLM\u003C\u002Fa> 叫 Base1，訓練資料來自平台上累積的數千萬次真實用戶互動。創辦人 Maor Shlomo 的意思很直接：與其完全依賴前沿模型，不如針對自己的工作流做更細的調校。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782832685676-14aw.png\" alt=\"Base44 推出自家 AI 模型，年收達 1.5 億美元\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這個模型目前還在逐步上線，代表它不是一次性切換，而是先從部分流量開始測試。公司預期，資料越多，模型對 app 建置、生成與修改的表現就會越貼近使用者需求。\u003C\u002Fp>\u003Cp>從商業節奏看，Base44 也不是慢慢試水溫的早期團隊。它在被 Wix 收購時估值與規模都不大，但成長速度很快，6 月底的產品策略已經開始往「自有模型」靠攏。\u003C\u002Fp>\u003Cul>\u003Cli>Base44 約在被收購前運作了 6 個月。\u003C\u002Fli>\u003Cli>Wix 收購時，團隊只有 8 人。\u003C\u002Fli>\u003Cli>收購價是 8,000 萬美元。\u003C\u002Fli>\u003Cli>公司 5 月宣稱 ARR 已到 1.5 億美元。\u003C\u002Fli>\u003Cli>這個數字比兩個月前的 1 億美元高出不少。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這些數字放在一起看，很像一條典型的 AI 應用公司路線：先靠外部模型快速起量，再把最常用的能力內建化。Base44 現在做的，就是把「成長」和「成本結構」一起重新設計。\u003C\u002Fp>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，自家模型最直接的好處是延遲更低、輸出更穩，尤其在反覆生成\u003Ca href=\"\u002Fnews\u002Fai-should-govern-sdlc-before-code-zh\">程式碼\u003C\u002Fa>、修 bug、改 UI 的場景裡，體感差異很明顯。若模型真的針對 vibe-coding 做過優化，平台就能少一些通用模型常見的冗餘輸出。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782832673427-0h2m.png\" alt=\"Base44 推出自家 AI 模型，年收達 1.5 億美元\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對產業來說，Base44 的動作反映出一個更現實的趨勢：AI 應用層的競爭，正在從「誰接得上最新模型」轉向「誰能把資料、分發與\u003Ca href=\"\u002Fnews\u002Fai-infrastructure-trillion-dollar-asset-class-zh\">基礎設施\u003C\u002Fa>綁得更緊」。在推理成本仍高的情況下，誰能更便宜地服務同樣的工作流，誰就更有空間守住利潤。\u003C\u002Fp>\u003Cp>這也讓它和 \u003Ca href=\"https:\u002F\u002Flovable.dev\u002F\" target=\"_blank\" rel=\"noopener\">Lovable\u003C\u002Fa> 這類仍高度倚賴外部模型的對手形成對比。更上游的 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002F\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fx.ai\u002F\" target=\"_blank\" rel=\"noopener\">xAI\u003C\u002Fa> 也在往應用場景下探，意味著專門化產品要維持差異，門檻只會更高。\u003C\u002Fp>\u003Cp>Wix 也有自己的盤算。Base44 若能把核心模型跑得更快、更省，母公司在擴張時就能少一點成本壓力，尤其是在 \u003Ca href=\"https:\u002F\u002Fwww.wix.com\u002Fabout\u002Fpress-room\" target=\"_blank\" rel=\"noopener\">Wix\u003C\u002Fa> 已宣布要裁掉 20% 人力的背景下，任何能改善效率的資產都更值錢。\u003C\u002Fp>\u003Cp>真正的問題是：這會不會成為更多 AI 應用公司的標準動作？還是最後仍是少數大模型供應商，把最好的用例與資料都吸走，讓新創很難真正建立護城河。\u003C\u002Fp>\u003Cp>Base44 這一步看起來像產品升級，實際上是在回答一個更刺耳的問題：當模型本身也能被商品化時，應用公司到底還能靠什麼留下來？\u003C\u002Fp>","Wix 旗下 vibe-coding 平台 Base44 開始推出自家模型 Base1，主打更低延遲與成本。公司稱其年經常性收入已達 1.5 億美元。","techcrunch.com","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F06\u002F29\u002Fvibe-coding-platform-base44-launches-own-model-as-ai-startups-seek-defensibility\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782832685676-14aw.png","tools","zh","bf330454-e98e-4c15-ad75-1dfe0b1158bc",[17,18,19,20,21],"Base44","Wix","vibe-coding","AI model","ARR",[23,24,25],"Base44 開始推出自家模型 Base1，主打更低延遲與更低成本。","公司稱 5 月 ARR 已達 1.5 億美元，兩個月前為 1 億美元。","這反映 AI 應用層正在把資料、分發與基礎設施綁得更緊。",6,"2026-06-30T15:17:28.63747+00:00","2026-06-30T15:17:28.632+00:00","0c64eda0-d76f-4e13-bd85-d085ff6d151e",{"tags":31,"relatedLang":36,"relatedPosts":40},[32,34],{"name":33,"slug":19},"vibe coding",{"name":20,"slug":35},"ai-model",{"id":15,"slug":37,"title":38,"language":39},"base44-rolls-out-own-ai-model-en","$150M ARR Base44 rolls out its own AI model","en",[41,47,53,59,65,71],{"id":42,"slug":43,"title":44,"cover_image":45,"image_url":45,"created_at":46,"category":13},"419deb6d-ea65-4fa7-9dd1-73763f373b53","bailian-token-plan-agent-credits-guide-zh","百炼Token Plan把Agent接入变简单","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783929835818-cyp6.png","2026-07-13T08:03:24.024727+00:00",{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"5c5c6733-6f41-49ca-b61e-c0a53399c327","one-api-gateway-turns-six-ai-apis-into-one-zh","一個閘道把六個 AI API 收成一套","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783883027640-gz6i.png","2026-07-12T19:03:22.171684+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"953466bc-6d94-4ffe-944b-ac7728d09184","fde-playbook-fixes-broken-agent-projects-zh","FDE 讓烂尾 Agent 回正軌","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783881221882-yw1n.png","2026-07-12T18:33:16.193979+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"bd3b5d5c-02d9-49c4-8ca4-dcb6df373374","ai-zaobao-template-daily-to-reusable-report-zh","AI 早报拆成可复用周报","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783879420413-rlwb.png","2026-07-12T18:03:11.617929+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"33302498-49ec-4a00-8e2c-61b6f9fc3ece","claude-reflect-turns-usage-into-retention-zh","Claude Reflect 把使用變留存","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783793005956-n1ea.png","2026-07-11T18:03:01.486301+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"5f08bf54-0ddb-4884-b541-75e33ad21b30","midjourney-turns-prompt-ideas-into-art-zh","Midjourney 把提示詞變成可重用流程","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783694003831-eilt.png","2026-07-10T14:32:55.765266+00:00",[78,83,88,93,98,103,108,113,118,123],{"id":79,"slug":80,"title":81,"created_at":82},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":84,"slug":85,"title":86,"created_at":87},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 工具層","2026-03-26T08:01:46.589694+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"af9c46c3-7a28-410b-9f04-32b3de30a68c","prompting-in-2026-what-actually-works-zh","2026 提示工程，真正有用的是什麼","2026-03-26T08:08:12.453028+00:00",{"id":94,"slug":95,"title":96,"created_at":97},"05553086-6ed0-4758-81fd-6cab24b575e0","garry-tan-open-sources-claude-code-toolkit-zh","Garry Tan 開源 Claude Code 工具包","2026-03-26T08:26:20.068737+00:00",{"id":99,"slug":100,"title":101,"created_at":102},"042a73a2-18a2-433d-9e8f-9802b9559aac","github-ai-projects-to-watch-in-2026-zh","2026 必看 20 個 GitHub AI 專案","2026-03-26T08:28:09.619964+00:00",{"id":104,"slug":105,"title":106,"created_at":107},"a5f94120-ac0d-4483-9a8b-63590071ac6a","claude-code-vs-cursor-2026-zh","Claude Code 與 Cursor 深度對比：202…","2026-03-26T13:27:14.279193+00:00",{"id":109,"slug":110,"title":111,"created_at":112},"0975afa1-e0c7-4130-a20d-d890eaed995e","practical-github-guide-learning-ml-2026-zh","2026 機器學習入門 GitHub 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