# Longcat Flash Thinking 2601 Technical Report

> 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

- Skill: `adu2021/longcat-flash-thinking-2601-technical-report` (Agent Skill)
- Install (CLI): `npx skillmds@latest add adu2021/longcat-flash-thinking-2601-technical-report`
- Raw SKILL.md: https://api.skillmd.com/api/skills/adu2021/longcat-flash-thinking-2601-technical-report/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- License: MIT
- Author: adu2021 (https://skillmd.com/u/adu2021)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/adu2021/longcat-flash-thinking-2601-technical-report

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## Overview

This skill implements concepts from the research paper [[2601.16725](https://arxiv.org/abs/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](https://arxiv.org/html/2601.16725).