# Llama 4 Maverick 17B 16e Instruct API Pricing

As of October 10, 2026, Llama 4 Maverick 17B 16e Instruct costs $0.35 per 1M input tokens and $1.15 per 1M output tokens on Google Vertex AI. It has a 1,000,000-token context window and returns up to 1,000,000 tokens per response.

- Page: https://models.litellm.ai/models/llama-4-maverick-17b-16e-instruct
- Lab: Meta
- LiteLLM model name: `vertex_ai/meta/llama-4-maverick-17b-16e-instruct-maas`
- Context window: 1,000,000 tokens
- Max output: 1,000,000 tokens
- Added to LiteLLM: May 2025
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Google Vertex AI | `vertex_ai/meta/llama-4-maverick-17b-16e-instruct-maas` | $0.35 | $1.15 | – | – | – | 1M |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Google Vertex AI: $1.275

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Google Vertex AI: $3.73

## Features

Supported: Function calling.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="vertex_ai/meta/llama-4-maverick-17b-16e-instruct-maas",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Llama 4 Maverick 17B 16e Instruct cost?

Llama 4 Maverick 17B 16e Instruct costs $0.35 per 1M input tokens and $1.15 per 1M output tokens on Google Vertex AI.

### What is the context window of Llama 4 Maverick 17B 16e Instruct?

Llama 4 Maverick 17B 16e Instruct has a 1,000,000-token context window and returns up to 1,000,000 tokens per response.

### Which providers offer Llama 4 Maverick 17B 16e Instruct?

Llama 4 Maverick 17B 16e Instruct is available from Google Vertex AI through LiteLLM, using the model name vertex_ai/meta/llama-4-maverick-17b-16e-instruct-maas.

### How do I call Llama 4 Maverick 17B 16e Instruct with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="vertex_ai/meta/llama-4-maverick-17b-16e-instruct-maas", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Llama 4 Maverick 17B 16e Instruct support?

Llama 4 Maverick 17B 16e Instruct supports function calling.

### When did LiteLLM add Llama 4 Maverick 17B 16e Instruct?

Llama 4 Maverick 17B 16e Instruct was added to LiteLLM's model price file in May 2025.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json