Capabilities
7-day heat trend
−0.6%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 17% of tracked models
- Faster than 56% of tracked models
- Efficiency rank: #414 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About 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-3.1-40...
llama-3.1-nemotron-ultra-253b-v1 is a Text model from NVIDIA (US). HotON.ai tracks it at $0.60 per 1M input tokens and $1.80 per 1M output tokens, with a 131K-token context window, ~151 tokens/sec throughput and 98.5% availability. Its composite efficiency score is 89/100 at an estimated $0.002 per successful task.
Compare llama-3.1-nemotron-ultra-253b-v1
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Frequently asked questions
How much does llama-3.1-nemotron-ultra-253b-v1 cost per 1M tokens?+
llama-3.1-nemotron-ultra-253b-v1 is tracked at $0.60 per 1M input tokens and $1.80 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.50 per 1M tokens. Figures are illustrative demo data.
What is llama-3.1-nemotron-ultra-253b-v1 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is llama-3.1-nemotron-ultra-253b-v1?+
llama-3.1-nemotron-ultra-253b-v1 delivers about 151 tokens/sec with 98.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is llama-3.1-nemotron-ultra-253b-v1 cheaper than other AI models?+
Within the HotON.ai tracked set, llama-3.1-nemotron-ultra-253b-v1 is cheaper than 17% of models on input price and ranks #414 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.