Nemotron-Labs-Diffusion 3B
Nemotron-Labs-Diffusion 3B is a released long context model with open-weight and 128K context; evaluate it while provider pricing coverage matures.
- Family
- Nemotron-Labs-Diffusion
- Released
- 2026-05-23
- Context
- 128K
- Parameters
- 3B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open weights
- License
- NVIDIA Open ModelPermitted
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
No tracked provider pricing is available yet.
About
NVIDIA Nemotron-Labs-Diffusion 3B is the smallest instruct model in NVIDIA Research's diffusion language model family, released May 23, 2026. Uses diffusion-based parallel decoding — generating multiple tokens simultaneously and iteratively refining them — enabling up to 6× higher throughput than autoregressive baselines. Supports three decoding modes: autoregressive, diffusion (block-by-block), and self-speculation (draft + verify). Trained on 1.3T tokens from NVIDIA Nemotron Pretraining datasets plus 45B fine-tuning tokens. Released under NVIDIA Nemotron Open Model License (commercially usable open weights). Available on Hugging Face at nvidia/Nemotron-Labs-Diffusion-3B.
Providers
No active provider routes are tracked for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
No tracked provider pricing is available yet.