蘋果公司高管在WWDC 2026後迴應“AI模型爲Gemini套殼版”的猜測，強調Apple Foundation Models（AFM）完全自主研發，非簡單借用谷歌Gemini技術。雖在蒸餾與訓練中藉助Gemini，但最終產品基於蘋果自有代碼、技術和數據體系，獨立完成。
蘋果在WWDC26發佈iOS27，其深度集成的人工智能體系Apple Foundation Models (AFM)成爲焦點。針對“套殼Google Gemini”的質疑，蘋果高管強硬迴應：AFM並非簡單換皮，而是完全自主開發的成果，僅借鑑了部分Gemini技術。
Liquid AI 公司於2025年7月發佈第二代 Liquid Foundation Models（LFM2），採用創新的“liquid”架構，旨在成爲市場上最快的設備端基礎模型。其高效的訓練和推理能力使小模型能媲美雲端大型語言模型。LFM2 最初提供350M、700M 和1.2B 參數的密集檢查點版本。
蘋果在iOS 26中推出Foundation Models框架，讓開發者能本地調用AI大模型，無需聯網且免費。這促使一批App快速創新，如兒童啓蒙應用《Lil Artist》推出“AI故事機”功能，用戶可選角色生成個性化故事，提升用戶體驗。
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Anthropic
$105
輸入tokens/百萬
$525
輸出tokens/百萬
200
上下文長度
Google
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$2.8
1k
$7
$35
$2.1
$17.5
$21
Alibaba
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$24
256
Baidu
-
128
Bytedance
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$3.6
4
$2
$3.9
$15.2
64
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$0.15
$1.5
32
Deepseek
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$12
Tencent
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