At the 2026 vivo Developer Conference held on September 16, vivo announced the comprehensive upgrade of the Blue Mind large model, building a smart agent large model matrix centered around individuals, and releasing four core models: Blue LM-RealTime, Blue LM-Nano, Blue LM-Flash, and Blue LM-Pro, covering capabilities such as speech understanding, edge-side perception and memory, and cloud-side task execution.

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Speech model is not afraid of noisy accents, edge-side model accumulates personal memory

Blue LM-RealTime is a Blue Mind speech large model that uses a new end-to-end speech understanding architecture and integrates more personalized information. In practical use, even in a noisy environment, speaking softly, with an accent, or continuously speaking, or mixing Chinese and English, it can still recognize and understand.

Blue LM-Nano is a Blue Mind edge-side large model, whose core capability is real-time perception and accumulation of personal memory. It can integrate and process various types of information, including screen content, images, videos, text, and files. Not only can it understand what the user is currently doing, but it can also long-term record usage habits, preferences, device status, and spatiotemporal scenarios. vivo stated that the perception and memory capabilities of the Blue Mind edge-side large model remain industry-leading and have achieved multiple top rankings.

Cloud-side model acts as a mobile phone task controller

Blue LM-Flash and Blue LM-Pro are positioned as Blue Mind cloud-side large models, mainly responsible for complex task execution. Through the self-developed Agentic engine and deep collaboration with system-level Harness, they can act as a mobile phone task controller: users just need to state their needs, and Blue Mind V can call relevant capabilities across devices, applications, and scenarios to execute tasks.

At the same time, the system can continue to learn from user corrections during the usage process, making subsequent task execution more tailored to individual habits.