Language model
Nemotron Cascade 2 30B A3B
NVIDIA
- Released
- March 24, 2026
- Data date
- September 26, 2026
Nemotron Cascade 2 30B A3B is a post-trained reasoning checkpoint. NVIDIA describes it as developed from a base model in the Nemotron 3 Nano line and provides separate Think and Instruct modes. Its 30 billion total parameters and 3 billion active parameters combine sparse serving with deliberate control over planning.
The model card documents tool use and supports up to 1M context tokens. NVIDIA's standard vLLM example sets the maximum model length to 262,144 tokens.
Specifications and access
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | APISource |
| Parameters | 30 billionSource |
| Active parameters | 3 billionSource |
| License | NVIDIA Open Model LicenseSource |
| Inputs | TextSource |
| Outputs | TextSource |
| Reasoning | YesSource |
| Tool calling | YesSource |
| Advertised context | Up to 1M tokensSource |
| Documented vLLM configuration | 262,144 tokensSource |
Popularity
27.8 / 100
Sources and data date
| Type | Evidence and data date |
|---|---|
| Additional source | models.dev catalog (retrieved September 26, 2026) |
| Additional source | NVIDIA Nemotron Cascade 2 30B A3B model card (retrieved October 2, 2026) · NVIDIA Nemotron Cascade 2 model card · Editorial description reviewed October 2, 2026 |
| Additional source | NVIDIA Nemotron Cascade 2 research overview · Editorial description reviewed October 2, 2026 |
| Additional source | Nemotron Cascade 2 technical report · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |