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Xiaohongshu dots

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Xiaohongshu LLM series, dots-note 3.0 scored perfect 42/42 at IMO 2026; reads raw LaTeX end-to-end without formal languages

LLMReasoningMathXiaohongshu
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Overview

dots is a large model series from the Xiaohongshu technical team. Its internal version dots-note 3.0 achieved a perfect score on all six problems at the 67th IMO 2026, earning a gold medal with 42/42 points, a feat accomplished by only 7 human contestants worldwide. The model does not rely on formal language; it directly reads original LaTeX problems and completes problem-solving end-to-end through recursive self-critique capabilities. dots-note 3.0 is the lightest model in the dots3 series and is expected to be open-sourced.

Key Features

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Pricing

dots-note 3.0 is expected to be open-sourced; specific details are subject to the announcement by the Xiaohongshu technical team.

Summary

dots is a large model series from Xiaohongshu. dots-note 3.0 demonstrates end-to-end mathematical reasoning ability with a perfect gold medal at IMO 2026. Its distinctive feature is not relying on formal language, making it suitable for high-difficulty reasoning research scenarios.

Version History

Category
AI Platforms
Pricing
Open Source
Tags
LLM · Reasoning · Math
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