Nemotron Ultra 253B
According to BenchLM.ai, Nemotron Ultra 253B ranks #111 out of 119 models on the provisional leaderboard with an overall score of 22/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Nemotron Ultra 253B is a open weight model with a 32K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 16 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Coding (#69), while its weakest is Multimodal & Grounded (#94). This performance profile makes it particularly well-suited for software development and code generation tasks.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#84Coding
#69Reasoning
#77Knowledge
#92Math
#71Multilingual
#73Multimodal
#94Inst. Following
#93Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does Nemotron Ultra 253B perform overall in AI benchmarks?
Nemotron Ultra 253B currently ranks #111 out of 119 models on BenchLM's provisional leaderboard with an overall score of 22 (estimated). It is created by NVIDIA and features a 32K context window.
Is Nemotron Ultra 253B good for knowledge and understanding?
Nemotron Ultra 253B ranks #92 out of 119 models in knowledge and understanding benchmarks with an average score of 25. There are stronger options in this category.
Is Nemotron Ultra 253B good for coding and programming?
Nemotron Ultra 253B ranks #69 out of 119 models in coding and programming benchmarks with an average score of 27.3. There are stronger options in this category.
Is Nemotron Ultra 253B good for reasoning and logic?
Nemotron Ultra 253B ranks #77 out of 119 models in reasoning and logic benchmarks with an average score of 26.4. There are stronger options in this category.
Is Nemotron Ultra 253B good for agentic tool use and computer tasks?
Nemotron Ultra 253B ranks #84 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 18.9. There are stronger options in this category.
Is Nemotron Ultra 253B good for instruction following?
Nemotron Ultra 253B ranks #93 out of 119 models in instruction following benchmarks with an average score of 40.3. There are stronger options in this category.
Is Nemotron Ultra 253B open source?
Yes, Nemotron Ultra 253B is an open weight model created by NVIDIA, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Nemotron Ultra 253B have full benchmark coverage on BenchLM?
Not yet. Nemotron Ultra 253B currently has 16 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Nemotron Ultra 253B?
Nemotron Ultra 253B has a context window of 32K, which determines how much text it can process in a single interaction.
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