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

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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.

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Frequently asked questions

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