LongCat-Next — 5 Technical Articles

Apr 3, 2026 · Artificial Intelligence

Meituan Unveils LongCat-Next: A Deep Unified Multimodal AI Model Shifting AI Foundations

Meituan’s newly announced LongCat-Next model claims to encode images, speech, and text into a single shared token space, moving beyond the conventional “stitch‑based” multimodal architectures toward a unified perception that could dramatically improve AI understanding in complex scenarios such as autonomous driving and e‑commerce.

AI FoundationsLongCat-NextMeituan

0 likes · 6 min read

Meituan Unveils LongCat-Next: A Deep Unified Multimodal AI Model Shifting AI Foundations

Machine Heart

Apr 2, 2026 · Artificial Intelligence

LongCat-Next: Turning Images, Audio, and Text into Tokens – What’s Next?

LongCat-Next is a 68.5‑billion‑parameter discrete‑native autoregressive multimodal model that tokenizes images, audio and text, challenges the belief that visual tokenization loses detail, matches specialized models on fine‑grained tasks, and demonstrates that joint understanding‑generation training can even improve generation quality.

LongCat-Nextaudio synthesisdiscrete tokenization

0 likes · 21 min read

LongCat-Next: Turning Images, Audio, and Text into Tokens – What’s Next?

Machine Learning Algorithms & Natural Language Processing

Mar 31, 2026 · Artificial Intelligence

Unified Multimodal Modeling: How LongCat-Next Bridges Understanding and Generation

The article analyzes why text models naturally combine understanding and generation, explains the fundamental conflicts that prevent images from sharing the same tokenization, and details LongCat-Next’s discrete autoregressive approach—using SAE visual encoders, residual vector quantization, and a unified LLM backbone—to achieve a single model that can both comprehend and create multimodal content.

LongCat-NextRVQVision-Language

0 likes · 21 min read

Unified Multimodal Modeling: How LongCat-Next Bridges Understanding and Generation

Machine Learning Algorithms & Natural Language Processing

Mar 30, 2026 · Artificial Intelligence

Meituan’s Fully Discrete Multimodal Base (LongCat-Next) Shows All Physical Signals Can Converge to Tokens

LongCat-Next, a 3‑billion‑parameter multimodal model released by Meituan, adopts a pure discrete token‑based architecture (DiNA) and next‑token prediction, outperforming same‑size rivals on OmniDocBench‑EN, CharXivRQ, and matching QwenVL on visual tasks, while avoiding catastrophic forgetting and achieving a SWE‑Bench score of 43.0, as demonstrated through extensive benchmarks, receipt extraction, OCR, audio dialect reasoning, and image generation experiments.

DiNALongCat-NextOmniDocBench

0 likes · 10 min read

Meituan’s Fully Discrete Multimodal Base (LongCat-Next) Shows All Physical Signals Can Converge to Tokens

Machine Learning Algorithms & Natural Language Processing

Mar 28, 2026 · Artificial Intelligence

Do All Physical Signals Reduce to a Single Discrete Token? LongCat‑Next Explained

LongCat‑Next, Meituan’s new 3‑billion‑parameter foundation model, adopts a pure‑discrete DiNA architecture with next‑token prediction, converting vision, audio and text into unified tokens; it surpasses same‑size multimodal models on OmniDocBench‑EN, CharXivRQ and SWE‑Bench, avoids catastrophic forgetting, and introduces dNaViT, RVQ compression and a dual‑path detokenizer for high‑fidelity generation.

DiNALongCat-NextSWE-Bench

0 likes · 10 min read

Do All Physical Signals Reduce to a Single Discrete Token? LongCat‑Next Explained