騰訊雲推出“TencentDB Agent Memory”服務，爲AI智能體提供長期記憶能力。該服務採用四層漸進式記憶系統，能將碎片化對話轉化爲結構化事實、場景化認知和個性化畫像，顯著提升智能體回答準確率。
騰訊雲發佈“龍蝦”記憶服務TencentDB Agent Memory，爲OpenClaw系統提供長期記憶能力。該服務採用四層漸進式記憶系統，顯著提升AI助理對用戶需求的理解和記憶。測試顯示，OpenClaw回答準確率提升至76.10%，較原有系統提高近59%。
騰訊將海外大模型品牌“混元”簡化爲“Tencent HY”，以優化國際品牌標識。此舉與新版發佈同步，12月5日推出的Tencent HY2.0已率先應用於騰訊AI應用如元寶和im。
騰訊自研大模型混元2.0（Tencent HY2.0）正式發佈，與此同時，DeepSeek V3.2也逐步接入騰訊生態。目前，這兩大模型已在元寶、ima等騰訊AI原生應用中率先上線，騰訊雲也同步開放了相關模型的API及平臺服務。 全新發布的Tencent HY2.0採用混合專家（MoE）架構，總參數量高達4
Anthropic
$105
輸入tokens/百萬
$525
輸出tokens/百萬
200
上下文長度
Google
$0.7
$2.8
1k
$7
$35
$2.1
$17.5
$21
Alibaba
$6
$24
256
Baidu
-
128
Bytedance
$1.2
$3.6
4
$2
$3.9
$15.2
64
$0.8
$0.15
$1.5
32
Deepseek
$4
$12
Tencent
$1
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