Xiaohongshu Open-Sources dots3-note: 280B Model for Long-Horizon Agents
On August 14, Xiaohongshu's dots lab released dots3-note preview, the first open-weight model in the dots3 series. Built on a MoE architecture with 280B total parameters and 16B activated parameters, it supports a 512K context window and focuses on real-world long-horizon agentic tasks. The model scored a perfect 42/42 in IMO 2026 and outperformed Claude and GPT in tasks like travel planning, with SGLang already providing Day-0 support.
Confirmed
- Model architecture: MoE, 280B total parameters, 16B activated parameters, supports 512K context, multimodal (text, image, video, audio).
- Performance: Perfect score of 42/42 in IMO 2026; outperforms Claude and GPT in long-horizon tasks such as travel planning and wedding preparation (reported by Synced).
- Ecosystem: SGLang provides Day-0 support.
Unconfirmed
- Specific evaluation details (e.g., comparison benchmarks, task setups) were not detailed in the original post.
Why it matters
This marks Xiaohongshu's first open-source LLM. Highlighting long-horizon agents as its core strength, it claims to surpass Claude and GPT in real-world tasks while delivering high performance at just 1/10 of the activated parameter size, setting a new benchmark for both the open-source community and the Agent domain.
2026-08-14 ~ 2026-08-14 · 8 related posts
Primary sources
- dots3-note Multimodal Model Released: 280B Params, 512K Context — jacek2023 ·
- Rednote's Dots Studio Releases First Open-Source LLM dots3-note: 280B MoE for Long-Horizon Agents — BanghuaZ ·
- Dots3-note open-sourced: 280B-total/16B-active multimodal model scores perfect 42/42 on IMO 2026, 1/10 the size of rivals — xiaosun86 ·
- [source] dots3-note Multimodal Model Released: 280B Params, 512K Context — jacek2023 · 2026-08-14
- Leaked ByteDance Doubao Dots3-note Specs: 280B Total Params, 512K Context — teortaxesTex · 2026-08-14
- Dots3-note Multimodal Model Leaked: 280B Params, 512K Context, Shocking ARC-AGI Scores — teortaxesTex · 2026-08-14
- [source] Rednote's Dots Studio Releases First Open-Source LLM dots3-note: 280B MoE for Long-Horizon Agents — BanghuaZ · 2026-08-14
- Xiaohongshu Open-Sources 280B Agent Model, Outperforming Claude & GPT in Long-Horizon Tasks — 机器之心 · 2026-08-14
- [source] Dots3-note open-sourced: 280B-total/16B-active multimodal model scores perfect 42/42 on IMO 2026, 1/10 the size of rivals — xiaosun86 · 2026-08-14
- RedNote Releases dots3-note Preview: 280B Open-Source Multimodal Model — AdinaYakup · 2026-08-14
- dots3-note Preview Open-Sourced: 280B Parameters Rivals DeepSeek-V3 — ChengleiSi · 2026-08-14