---
title: "What Is Next-Concept Modeling (NCM)?"
term: "Next-Concept Modeling"
description: "Next-Concept Modeling (NCM) is a research framework for generating language through a hierarchy of discrete codes, from coarse representations to finer details. A model predicts multiple codes in parallel within each level, instead of generating text strictly token by token."
source: https://venturecapitaltracker.com/glossary/next-concept-modeling
---

# What Is Next-Concept Modeling (NCM)?

> Next-Concept Modeling (NCM) is a research framework for generating language through a hierarchy of discrete codes, from coarse representations to finer details. A model predicts multiple codes in parallel within each level, instead of generating text strictly token by token.

Imagine assembling a passage from broad structure down to fine detail instead of writing one word after another. **NCM does this inside a learned representation**, not by asking a chatbot to create an outline.

## How NCM works

First, a multiscale tokenizer converts text into levels of discrete codes. A transformer then predicts each successive level based on the preceding ones, **in parallel across positions at that level**. A decoder reconstructs natural language from the completed hierarchy.

Stanford's [October 2026 paper](https://arxiv.org/abs/2610.14162) reports **21× faster generation on LM1B, 10× on OpenWebText and 31× on XSum** versus selected diffusion language-model baselines at comparable metrics. It also reports about four to five times fewer training tokens on selected tests.

## What the results do not establish

The research reaches **725 million parameters** and measures generation on an H100 GPU. It does **not** prove a 31× reduction in commercial API costs, frontier-level reasoning on a 32GB consumer GPU or broad superiority over the best autoregressive LLMs.

A Together AI-affiliated researcher coauthored the study, but there is no confirmed standalone NCM company financing or widely deployed NCM API. For the venture funding landscape and competing products, see VCT's [NCM and diffusion startup market map](/diffusion-language-models-ncm-startups-funding-2026).

## Sources

- [Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation (Stanford Hazy Research)](https://hazyresearch.stanford.edu/blog/2026-10-12-ncm)
- [Original Next-Concept Modeling paper (arXiv)](https://arxiv.org/abs/2610.14162)
- [NCM reference code and released model assets (Stanford Hazy Research / GitHub)](https://github.com/HazyResearch/ncm)

**By:** [Venture Capital Tracker](https://venturecapitaltracker.com/editorial-policy)

**Editorial note:** AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.

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Source: https://venturecapitaltracker.com/glossary/next-concept-modeling