NVIDIA: Llama 3.1 Nemotron Ultra 253B v1
Analysis Summary
NVIDIA Llama 3.1 Nemotron Ultra 253B v1 is a large text model with a 131,072-token context window and measured strengths in mathematics and code-related tasks. That profile can support technical explanation, quantitative analysis, and selected programming assistance when outputs are checked by an experienced operator.
Production adoption is constrained by weak instruction-following results, limited long-context retention, and poor terminal and tool-use performance. It is therefore a poor fit for autonomous agents, repository-scale coding, or workflows requiring consistent structured execution. The listed pricing does not compensate for those reliability concerns relative to more capable current options. Use it only for narrowly scoped analytical experiments or internal comparisons, not as a default client workflow model.
Assessed August 9, 2026
Editorial notes
Nemotron Ultra 253B shows useful mathematical and coding signals with a 131K context, but weak instruction following, long-context retention, terminal execution, and tool reliability reduce its suitability for dependable client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Nemotron Ultra 253B shows useful mathematical and coding signals with a 131K context, but weak instruction following, long-context retention, terminal execution, and tool reliability reduce its suitability for dependable client workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
8.9 Intelligence Index·63.7 Math Index
How NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 compares
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 ranks #290 of 425 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% of the models we list. At $0.60 per million input tokens it is cheaper than 35% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $1.80 | $0.001800 |
What would NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout NVIDIA: Llama 3.1 Nemotron Ultra 253B v1
Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) optimized for advanced reasoning, human-interactive chat, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta’s Llama-3.1-405B-Instruct, it has been significantly customized using Neural..
Frequently asked questions about NVIDIA: Llama 3.1 Nemotron Ultra 253B v1
How much does NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 cost?
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 costs $0.60 per million input tokens and $1.80 per million output tokens.
What is the context window of NVIDIA: Llama 3.1 Nemotron Ultra 253B v1?
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 has a context window of 131,072 tokens (131K).
Who created NVIDIA: Llama 3.1 Nemotron Ultra 253B v1?
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA and was released on April 8, 2025.