NVIDIA NIM: Nemotron 70B Instruct
stableNemotron 70B Instruct is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.
nvidia__llama-3.1-nemotron-70b-instructnemotronreleased Apr 15, 2025
Context
128K
tokens
Max output
8.2K
tokens
Input
-
per 1M
Output
-
per 1M
Activity
Daily period usage
Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.
Providers
ProviderContextInput /MOutput /M
Pricing
| Item | Price | Unit |
|---|---|---|
| Input | - | per 1M tokens |
| Output | - | per 1M tokens |
Performance
Reliability
Compare
Compare usage and performance
Place this model beside up to three other catalog models.
Capabilities
Capabilities
Modalities
Input
Output
Details
- Model ID
- nvidia__llama-3.1-nemotron-70b-instruct
- Family
- nemotron
- Status
- stable
- Knowledge
- -
- Released
- Apr 15, 2025
Gateway Config
- API
- 2024-01-01
- Auth
- NVIDIA_API_KEY
- Discovery
- static
- Provider type
- meta
Quick Start
index.ts
Endpoint
Base URL
https://integrate.api.nvidia.com/v1Chat completions
https://integrate.api.nvidia.com/v1/chat/completionsModel
nvidia__llama-3.1-nemotron-70b-instructAuth env
NVIDIA_API_KEYNemotron 70B Instruct FAQ
What is the context window of Nemotron 70B Instruct?
Nemotron 70B Instruct accepts up to 128K tokens of context and returns up to 8.2K output tokens on NVIDIA NIM.
What can Nemotron 70B Instruct do?
Nemotron 70B Instruct supports chat and function calling. It accepts text input.
How do I call Nemotron 70B Instruct through Everstack?
Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @nvidia-nim/nvidia__llama-3.1-nemotron-70b-instruct. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.
