NVIDIA NIM

NVIDIA NIM: Llama 4 Maverick 17B 128E

stable

Llama 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

ItemPriceUnit
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
import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@nvidia-nim/meta__llama-4-maverick-17b-128e-instruct",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL
https://integrate.api.nvidia.com/v1
Chat completions
https://integrate.api.nvidia.com/v1/chat/completions
Model
meta__llama-4-maverick-17b-128e-instruct
Auth env
NVIDIA_API_KEY

Llama 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.