rednote Open-Sources dots3-note: 280B-Parameter Multimodal Agent Model with 512K Context

On August 29, rednote's AI lab dots studio released the open-source multimodal agent model dots3-note Preview, targeting long-horizon, real-world agent tasks where requirements keep evolving. The model has 280 billion total parameters and 16 billion activated parameters, with a 512K context window, and is the first model in the dots3 family to jointly understand text, vision, and speech.

Confirmed

Why It Matters

dots3-note is one of the few open-source models combining ultra-long context with joint understanding across text, vision, and speech, offering a new foundation model option for agent applications that need long-term memory and multimodal interaction. Its 512K context and sparse activation architecture (16B/280B) are purpose-designed for coherence in long-horizon tasks; follow-up community benchmarks will be worth watching.

2026-08-29 ~ 2026-08-30 · 5 related posts

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1 near-duplicate retellings: SarahAnnabels