NVIDIA
RankedEnough results for an index.Nemotron 3 Ultra
Nemotron 3 Ultra is a reasoning model from NVIDIA. 24 benchmarks count toward its index, in 6 categories.
IndexAll categories, out of 100.50.8±5.3Median 51.0
CoverageIndex weight that has results.80%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.FreeMedian $0.60
Output / 1MUS dollars per 1M output tokens.FreeMedian $2.55
ContextMaximum tokens in one request.1MMedian 262K
EloLMArena rating and rank.—Median 1422
Run locally
560.52B parameters- 16-bit
- 1178.1 GB
- 8-bit
- 626.3 GB
- 4-bit
- 357.8 GB
Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models
Capabilities
Index per category, out of 100.Results
24 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0History
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does Nemotron 3 Ultra cost?
- Input tokens are free, output tokens are free.
- How good is Nemotron 3 Ultra?
- Its index is 50.8 out of 100. That is place 145 of 283 ranked models.
- What is Nemotron 3 Ultra best at?
- Coding: 54.3 out of 100, place 105 of 209.
- What is the context window of Nemotron 3 Ultra?
- 1M tokens.
- Is Nemotron 3 Ultra open source?
- Yes. Its weights are published.
- When was Nemotron 3 Ultra released?
- June 2026.
Badge
- HTML
<a href="https://inference360.ai/models/nemotron-3-ultra"><img src="https://inference360.ai/badges/nemotron-3-ultra.svg" alt="Nemotron 3 Ultra on Inference360: place 145 of 283, index 50.8" height="20"></a>- Markdown
[](https://inference360.ai/models/nemotron-3-ultra)