LongCat Models

LongCat-Flash-Lite

Released: 2026

Lightweight MoE model based on N-gram embedding expansion. 68.5B total parameters, activating ~2.9B–4.5B per inference. Optimized for agentic tool use and coding, with up to 256K context via YARN.

• 256K context length (YARN)
• 500–700 token/s on typical 4K-in/1K-out load (LongCat API)
• Strong performance on agentic tool-use and coding benchmarks

Hugging Face | Tech Report

LongCat-Flash-Chat

Released: September 1, 2025

Foundation dialogue model with 560B parameters in a Mixture-of-Experts (MoE) architecture. Activates approximately 18.6B–31.3B parameters per token (averaging ~27B) through Zero-Computation Experts.

• Supports up to 128K context length
• Achieves 100+ tokens/s on H800 GPUs
• Strong instruction following, reasoning, and coding

LongCat-Flash-Thinking

Latest: Flash-Thinking-2601 | Original: September 22, 2025

Enhanced reasoning model with open-source SOTA tool calling capabilities. Features revolutionary "Re-thinking Mode" with 8 parallel reasoning paths, dual-path reasoning framework, and DORA asynchronous training system.

• Open-source SOTA on Agentic Tool Use, Agentic Search, and TIR benchmarks
• Re-thinking Mode: 8 parallel reasoning paths for thorough decision-making
• 64.5% token savings in tool-call scenarios
• Outperforms Claude in complex random tool-calling tasks
• Perfect score (100.0) on AIME-25, SOTA (86.8) on IMO-AnswerBench

Hugging Face | GitHub | Try Online

LongCat-Video

Released: October 27, 2025

Video generation model based on Diffusion Transformer (DiT) architecture. Unified support for text-to-video, image-to-video, and video continuation tasks.

• Generates 5-minute coherent videos at 720p/30fps
• Long temporal sequences and cross-frame consistency
• Physical motion plausibility

LongCat-Video-Avatar

Released: November 2025

SOTA-level avatar video generation model built on LongCat-Video base. Achieves breakthrough improvements in realism, long-video stability, and identity consistency for virtual human generation.

• Audio-Text-to-Video (AT2V) and Audio-Text-Image-to-Video (ATI2V)
• Natural micro-movements during silent segments (blinking, breathing)
• Cross-Chunk Latent Stitching for stable 5-minute+ video generation
• Reference Skip Attention mechanism for identity consistency
• SOTA performance on HDTF, CelebV-HQ, EMTD, and EvalTalker benchmarks

LongCat-Flash-Omni

Released: November 2025

First open-source real-time all-modality interaction model. Unifies text, image, audio, and video with a single end-to-end ScMoE backbone.

• Open-source SOTA on Omni-Bench and WorldSense
• Low-latency, streaming multi-modal IO
• 128K context with multi-turn dialogue

LongCat-Image

Released: Latest | Parameters: 6B

Open-source AI image generation and editing model. Achieves open-source SOTA on image editing benchmarks (GEdit-Bench, ImgEdit-Bench) and leading performance in Chinese text rendering (ChineseWord: 90.7). Covers all 8,105 standard Chinese characters.

• Image editing: Open-source SOTA (ImgEdit-Bench 4.50, GEdit-Bench 7.60/7.64)
• Chinese text rendering: 90.7 on ChineseWord, covering all 8,105 characters
• Text-to-image: GenEval 0.87, DPG-Bench 86.8
• Available on LongCat Web and LongCat APP (24 templates, image-to-image)
• Fully open-source: Hugging Face | GitHub

LongCat-Audio-Codec

Audio processing module providing low-bitrate, real-time streaming audio tokenization and detokenization for speech LLMs, enabling efficient audio encoding and decoding.