longcat-flash-thinking-2601-technical-report

name	longcat-flash-thinking-2601-technical-report
title	LongCat-Flash-Thinking-2601 Technical Report
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.16725
keywords	["agent","model","reasoning"]
description	Implement techniques from LongCat-Flash-Thinking-2601 Technical Report. LongCat-Flash-Thinking-2601 achieves state-of-the-art performance among open-source models on a wide range of agentic benchmarks, including agentic search, agentic tool use, and tool-integrated reasoning

Overview

This skill implements concepts from the research paper [2601.16725].

When to Use

• When you need to implement techniques described in this paper
• When working on problems that this research addresses
• When you want to understand the core concepts and methodology

When NOT to Use

• This skill provides research-level insights; production implementations may require additional engineering
• Some concepts may require significant tuning for specific use cases
• Always evaluate applicability to your specific problem domain

Key Concepts

The paper addresses: We introduce LongCat-Flash-Thinking-2601, a 560-billion-parameter open-source Mixture-of-Experts (MoE) reasoning model with superior agentic reasoning capability. LongCat-Flash-Thinking-2601 achieves state-of-the-art performance among open-source models on a wide range of agentic benchmarks, includi...

For detailed methodology and implementation details, refer to the full paper.