NVIDIA NIM: Llama 4 Maverick 17B 128E
stableLlama 4 Maverick 17B 128E is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.
meta__llama-4-maverick-17b-128e-instructllamareleased Apr 1, 2025
Context
128K
tokens
Max output
4.1K
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
- meta__llama-4-maverick-17b-128e-instruct
- Family
- llama
- Status
- stable
- Knowledge
- -
- Released
- Apr 1, 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
meta__llama-4-maverick-17b-128e-instructAuth env
NVIDIA_API_KEYLlama 4 Maverick 17B 128E FAQ
What is the context window of Llama 4 Maverick 17B 128E?
Llama 4 Maverick 17B 128E accepts up to 128K tokens of context and returns up to 4.1K output tokens on NVIDIA NIM.
What can Llama 4 Maverick 17B 128E do?
Llama 4 Maverick 17B 128E supports chat, function calling and image input. It accepts text and image input.
How do I call Llama 4 Maverick 17B 128E through Everstack?
Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @nvidia-nim/meta__llama-4-maverick-17b-128e-instruct. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.
