NVIDIA: Llama 3.1 Nemotron Ultra 253B v1
Analysis Summary
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 sits in the Efficient tier on our leaderboard, ranked #182 of 525 published models on overall intelligence. At $0.600 input and $1.80 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports reasoning.
Editorial notes
NVIDIA's Llama 3.1 Nemotron Ultra 253B shows strong maths and MMLU scores but its composite intelligence and agentic indices are notably low, suggesting uneven capability across real-world tasks — at $0.60/$1.80 per million tokens it offers limited value relative to more balanced alternatives.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
nvidia/llama-3.1-nemotron-ultra-253b-v1
|
| Provider | nvidia |
| Release Date | April 8, 2025 |
| Context Length | 131,072 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $1.80 | $0.001800 |
