NVIDIA
RankedEnough results for an index.Nemotron Ultra 253B
Nemotron Ultra 253B is a reasoning model from NVIDIA. 9 benchmarks count toward its index, in 6 categories.
IndexAll categories, out of 100.35.9±6.9Median 51.0
CoverageIndex weight that has results.85%
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.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.32KMedian 262K
EloLMArena rating and rank.—Median 1422
Run locally
253.4B parameters- 16-bit
- 533.1 GB
- 8-bit
- 283.7 GB
- 4-bit
- 162.3 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
9 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
Questions
- How good is Nemotron Ultra 253B?
- Its index is 35.9 out of 100. That is place 234 of 283 ranked models.
- What is Nemotron Ultra 253B best at?
- Math: 42.5 out of 100, place 118 of 168.
- What is the context window of Nemotron Ultra 253B?
- 32K tokens.
- Is Nemotron Ultra 253B open source?
- Yes. Its weights are published.
- When was Nemotron Ultra 253B released?
- April 2025.
Badge
- HTML
<a href="https://inference360.ai/models/nemotron-ultra-253b"><img src="https://inference360.ai/badges/nemotron-ultra-253b.svg" alt="Nemotron Ultra 253B on Inference360: place 234 of 283, index 35.9" height="20"></a>- Markdown
[](https://inference360.ai/models/nemotron-ultra-253b)