LongCat-Flash-Thinking-2601 (Reasoning)

by Meituan

LongCat-Flash-Thinking-2601 (Reasoning) is a reasoning model from Meituan, released on January 14, 2026. It has a 128K-token context window and can generate up to 128K output tokens. API pricing is $0.3 per 1M input tokens and $1.2 per 1M output tokens. It ranks #63 of 220 models by Intelligence Score with a score of 35.4.

LongCat-Flash-Thinking-2601 is an upgraded version of LongCat-Flash-Thinking with 560B total parameters (MoE, ~27B activated). It achieves open-source SOTA performance on core evaluation benchmarks including Agentic Search, Agentic Tool Use, and Tool-Integrated Reasoning (TIR). Features Heavy Thinking mode that contributes +4-6 points on demanding agentic reasoning benchmarks. Mid-training with structured agentic trajectories improves pass@k by up to +12 points, and context management yields +17.5 improvement.

Key specs

ProviderMeituan
Release date2026-01-14
Licenseopen source
Context window128K tokens
Max output128K tokens
Input price$0.3 / 1M tokens
Output price$1.2 / 1M tokens
Intelligence Score35.4
Coding index18.7

Quick answers

What is the context window of LongCat-Flash-Thinking-2601 (Reasoning)?

LongCat-Flash-Thinking-2601 (Reasoning) has a context window of 128K tokens, with a maximum output of 128K tokens per response.

How much does LongCat-Flash-Thinking-2601 (Reasoning) cost?

LongCat-Flash-Thinking-2601 (Reasoning) costs $0.3 per 1M input tokens and $1.2 per 1M output tokens through the API.

Is LongCat-Flash-Thinking-2601 (Reasoning) open source?

Yes. LongCat-Flash-Thinking-2601 (Reasoning) is an open model released under the open source license.

When was LongCat-Flash-Thinking-2601 (Reasoning) released?

Meituan released LongCat-Flash-Thinking-2601 (Reasoning) on January 14, 2026.

How does LongCat-Flash-Thinking-2601 (Reasoning) compare to Claude Opus 5.5 (Reasoning)?

LongCat-Flash-Thinking-2601 (Reasoning) scores 35.4 on the Intelligence Score versus 60.5 for Claude Opus 5.5 (Reasoning), the current #1. Input pricing is $0.3 vs $4 per 1M tokens.

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