Capabilities
7-day heat trend
−29.1%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 11% of tracked models
- Faster than 0% of tracked models
- Efficiency rank: #413 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-70b-instruct
NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging Llama 3.1 70B architecture and Reinforcement Learning from Human Feedback (RLHF), it excels...
llama-3.1-nemotron-70b-instruct is a Text model from NVIDIA (US). HotON.ai tracks it at $1.20 per 1M input tokens and $1.20 per 1M output tokens, with a 131K-token context window, ~118 tokens/sec throughput and 97.0% availability. Its composite efficiency score is 89/100 at an estimated $0.003 per successful task.
Compare llama-3.1-nemotron-70b-instruct
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Frequently asked questions
How much does llama-3.1-nemotron-70b-instruct cost per 1M tokens?+
llama-3.1-nemotron-70b-instruct is tracked at $1.20 per 1M input tokens and $1.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.20 per 1M tokens. Figures are illustrative demo data.
What is llama-3.1-nemotron-70b-instruct 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-70b-instruct?+
llama-3.1-nemotron-70b-instruct delivers about 118 tokens/sec with 97.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is llama-3.1-nemotron-70b-instruct cheaper than other AI models?+
Within the HotON.ai tracked set, llama-3.1-nemotron-70b-instruct is cheaper than 11% of models on input price and ranks #413 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.