螞蟻集團開源全模態大模型Ming-Flash-Omni2.0，在視覺語言理解、語音生成、圖像處理等多項基準測試中表現優異，部分指標超越Gemini2.5Pro。該模型首創全場景音頻統一生成能力，支持在同一條音軌中生成語音、音效和音樂，用戶通過自然語言指令即可調整音色、語速等參數。
Jan團隊發佈300億參數多模態大模型Jan-v2-VL-Max，專爲長週期、高穩定性自動化任務設計，性能超越谷歌Gemini2.5Pro與DeepSeek R1。該模型重點解決多步任務中的“誤差累積”和“失焦”問題，爲開源智能體生態提供強大支持。
谷歌升級Gemini2.5Flash音頻模型，實現AI擬人化實時交流。新模型能直接處理聲音中的語調、情感和停頓，無需先轉文字，使對話更自然流暢。
谷歌Gemini2.5Flash Native Audio更新顯著提升語音助手功能，能更準確處理複雜指令，使對話更自然流暢。開發者指令遵循率從84%提升至90%，多步驟對話質量也明顯改善。
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
