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](/models/meta-llama/llama-3.1-70b-instruct) architecture and Reinforcement Learning from Human Feedback (RLHF), it excels in automatic alignment benchmarks. This model is tailored for applications requiring high accuracy in helpfulness and response generation, suitable for diverse user queries across multiple domains. Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).
Pricing
💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22
Technical specifications
Quick Start
Use Llama 3.1 Nemotron 70b Instruct via BazaarLink API — just change the base_url:
from openai import OpenAI
client = OpenAI(
base_url="https://bazaarlink.ai/api/v1",
api_key="sk-bl-YOUR_API_KEY",
)
response = client.chat.completions.create(
model="llama-3.1-nemotron-70b-instruct",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://bazaarlink.ai/api/v1",
apiKey: "sk-bl-YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "llama-3.1-nemotron-70b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Why use Llama 3.1 Nemotron 70b Instruct via BazaarLink?
- ✓USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
- ✓OpenAI-compatible API — zero code changes required
- ✓Automatic failover — multi-provider redundancy for the same model
- ✓Chinese-language support — local team, instant help
Frequently Asked Questions
What is 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](/models/meta-llama/llama-3.1-70b-instruct) architecture and Reinforcement Learning from Human Feedback (RLHF), it excels in automatic alignment benchmarks. This model is tailored for applications requiring high accuracy in helpfulness and response generation, suitable for diverse user queries across multiple domains. Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).
How much does the Llama 3.1 Nemotron 70b Instruct API cost?
Llama 3.1 Nemotron 70b Instruct costs $1.2000 per 1K input tokens and $1.2000 per 1K output tokens when accessed through BazaarLink.
How do I use Llama 3.1 Nemotron 70b Instruct with the OpenAI SDK?
Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "llama-3.1-nemotron-70b-instruct". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.
What is the context window for Llama 3.1 Nemotron 70b Instruct?
Llama 3.1 Nemotron 70b Instruct supports a context window of 131,072 tokens.
Is Llama 3.1 Nemotron 70b Instruct available for free?
Llama 3.1 Nemotron 70b Instruct is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.