NVIDIA

Llama 4 Maverick 17b 128e Instruct — Benchmark Scores, Pricing & Performance Analysis

OPEN SOURCENVIDIA
Input Cost
$0.00/1M
Output Cost
$0.00/1M
Context Window
128K
Max Output
4K
Knowledge Cutoff
Feb 2024
Accepts
text, image

Llama 4 Maverick 17b 128e Instruct by NVIDIA demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

Cost Benchmarks

Input Cost
$0.001st of 413

Cost per 1M input tokens

OpenRouter API
Output Cost
$0.001st of 413

Cost per 1M output tokens

OpenRouter API

Context Benchmarks

Context Length
128K267th of 451

Maximum context window size

OpenRouter API

Available from 3 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 1 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
Nvidia$0$0128K
IO.NET$0.15$0.6$0.075430K
Vertex$0.35$1.15524KSupported

Llama 4 Maverick 17b 128e Instruct — Frequently Asked Questions

How much does Llama 4 Maverick 17b 128e Instruct cost?

Llama 4 Maverick 17b 128e Instruct costs $0.00 per 1M input tokens and $0.00 per 1M output tokens. This makes it one of the more affordable models.

What is the context window of Llama 4 Maverick 17b 128e Instruct?

Llama 4 Maverick 17b 128e Instruct has a context window of 128K tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created Llama 4 Maverick 17b 128e Instruct?

Llama 4 Maverick 17b 128e Instruct was created by NVIDIA. It is classified as a open source model in our catalogue.

Is Llama 4 Maverick 17b 128e Instruct open source?

Yes, Llama 4 Maverick 17b 128e Instruct is an open-source model. The model weights are publicly available for download and self-hosting.