Nemotron 3 Ultra

NVIDIA
Nemotron 3 Ultra combines 550 billion total parameters with 55 billion active parameters in NVIDIA's LatentMoE architecture. Mamba2, MoE, attention, and multi-token prediction form the technical basis. The checkpoint supports ten languages and returns text only.
The 1M-token window covers long software and document tasks. NVIDIA's technical report describes the efficiency approach without making a blanket quality promise. For memory and parallelism, the full 550-billion-parameter footprint still matters.
The index averages rank percentiles from 10 documented comparison cohorts.
Page 1 of 3
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall · Task fully resolved
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall · All-pass
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Page 1 of 3
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

A community classic for free-form SVG drawing.
Nemotron 3 Ultra
Output withheld for safety
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)53 / 100
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | API, LocalSource |
| Parameters | 550BSource |
| Active parameters | 55BSource |
| Context window | 1,000,000 tokensSource |
| Release | 2026-06-04Source |
| Parameters | 550 BSource |
| Active parameters | 55 BSource |
| License | OpenMDW-1.1Source |
| Architecture | LatentMoE, Mamba-2 + MoE + Attention hybrid with MTPSource |
| Languages | English, French, Spanish, Italian, German, Japanese, Hindi, Korean, Brazilian Portuguese, ChineseSource |
| Input | TextSource |
| Output | TextSource |
| Type | Evidence and data date |
|---|---|
| Speed | Median across serving providers. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026. |
| Price | Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. |
| Input | Documented modalities. Retrieved September 8, 2026. |
| Output | Documented modalities. Retrieved September 8, 2026. |
| Research status | Research date September 8, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | knowledge-cutoff Original wording No exact value located in the checked primary model card/API documentation. |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Vals AI (retrieved September 29, 2026) |
| Additional source | Nemotron 3 Ultra 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 |