nvidia/llama-3.1-nemotron-70b-instruct
NvidiaPricing
- Input Tokens: $0.6 /M tokens
- Output Tokens: $0.6 /M tokens
Input Modalities
Try this model
Python
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AIHUBMIX_API_KEY"],
base_url="https://shkq.org/v1",
)
response = client.chat.completions.create(
model="nvidia/llama-3.1-nemotron-70b-instruct",
messages=[
{
"role": "user",
"content": "Hello, how are you?"
}
],
max_tokens=1024,
stream=False,
)
print(response.choices[0].message.content)Frequently asked questions
How much does nvidia/llama-3.1-nemotron-70b-instruct cost?
On AIHubMix, nvidia/llama-3.1-nemotron-70b-instruct costs $0.6 per million input tokens and $0.6 per million output tokens.
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More models from Nvidia
See all Nvidia models → Input:$ 0.5 /M
Output:$ 0.5 /M
Context:-
TTFT:-
Throughput:-
Llama-3.1-Nemotron-Ultra-253B is a 253 billion parameter reasoning-focused language model optimized for efficiency that excels at math, coding, and general instruction-following tasks while running on a single 8xH100 node.
Input:$ 0 /M
Output:$ 0 /M
Context:131K
TTFT:-
Throughput:-
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model fine-tuned from Google Gemma-3-4B. Featuring a 128,000 token context length, it is designed to moderate both inputs to and responses from LLMs and VLMs. This model provides an efficient safety layer to filter content and secure interactions across multiple modalities.
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