When was Nemotron Labs Dory 1.0 (4B) released?

Nemotron Labs Dory 1.0 (4B) was released on October 16, 2026 by Nvidia. This is the official Nemotron Labs Dory 1.0 (4B) release date tracked on LLM Stats.

How big is Nemotron Labs Dory 1.0 (4B)?

Nemotron Labs Dory 1.0 (4B) has 4 billion parameters. It was trained on 6.0 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Nemotron Labs Dory 1.0 (4B)?

Nemotron Labs Dory 1.0 (4B) was created by Nvidia.

What is the license for Nemotron Labs Dory 1.0 (4B)?

Nemotron Labs Dory 1.0 (4B) is released under the OpenMDW License v1.1 license. This is an open-source / open-weight license that permits self-hosting.

What models should I compare Nemotron Labs Dory 1.0 (4B) against?

Common Nemotron Labs Dory 1.0 (4B) comparisons include Nemotron Labs Dory 1.0 (4B) vs LongCat-Flash-Thinking, Nemotron Labs Dory 1.0 (4B) vs LongCat-Flash-Chat, Nemotron Labs Dory 1.0 (4B) vs Qwen3-Next-80B-A3B-Instruct. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.

Nemotron Labs Dory 1.0 (4B) Benchmarks, Pricing & Context Window

Name: Nemotron Labs Dory 1.0 (4B)
Author: Nvidia

Nemotron Labs Dory 1.0 (4B): Benchmarks, Pricing & Context Window

Nemotron Labs Dory 1.0 (4B) is a language model from Nvidia, released in October 2026.

NVIDIA Nemotron Labs Dory 1.0 4B is an open-weight looped (latent-recurrent) normalized-GPT language model with interleaved sliding-window attention (SWA) and full-attention layers. A shared recurrent block can be applied multiple times at

Nemotron Labs Dory 1.0 (4B) benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Nemotron Labs Dory 1.0 (4B) across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Nemotron Labs Dory 1.0 (4B) holds up as conversations get longer.

Quality Tracker

Nemotron Labs Dory 1.0 (4B) Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Mon Oct 19 2026

Notice missing or incorrect data?

Nemotron Labs Dory 1.0 (4B) model size

Nemotron Labs Dory 1.0 (4B) has 4 billion parameters and was trained on 6 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens

6Ttokens

1500× tokens-to-params ratio

Small (3–10B)

1B7B70B405B

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Nemotron Labs Dory 1.0 (4B)in Huggle

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Nemotron Labs Dory 1.0 (4B).

Nemotron Labs Dory 1.0 (4B) latency

Nemotron Labs Dory 1.0 (4B) time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Nemotron Labs Dory 1.0 (4B) examples

Recent arena outputs from Nemotron Labs Dory 1.0 (4B), picked from the highest-ranked matchups.

Nemotron Labs Dory 1.0 (4B) license

Nemotron Labs Dory 1.0 (4B) is released under the OpenMDW License v1.1 license, which permits commercial use, has 4.0B parameters.

License: OpenMDW License v1.1; Commercial use allowed
Parameters: 4.0B

Open Model, Data and Weights (OpenMDW) License Agreement, version 1.1 - permits commercial and non-commercial use.

Nemotron Labs Dory 1.0 (4B) resources

Official sources for Nemotron Labs Dory 1.0 (4B): model weights.

Model weightshuggingface.co

Nemotron Labs Dory 1.0 (4B) vs other models

The most-compared alternatives to Nemotron Labs Dory 1.0 (4B) are LongCat-Flash-Thinking, LongCat-Flash-Chat, Qwen3-Next-80B-A3B-Instruct. Open any pair side-by-side for benchmarks, pricing, context, and latency.