---
title: Llama 4 Maverick Instruct — Multimodal LLM | ModelsLab
description: Access Llama 4 Maverick Instruct (17Bx128E) for text-image reasoning and code generation. Try this 17B MoE model via API now.
url: https://modelslab.com/llama-4-maverick-instruct-17bx128e
canonical: https://modelslab.com/llama-4-maverick-instruct-17bx128e
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T00:14:03.160294Z
---

Available now on ModelsLab · Language Model

Llama 4 Maverick Instruct (17Bx128E)
Multimodal MoE Power
---

[Try Llama 4 Maverick Instruct (17Bx128E)](/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8) [API Documentation](https://docs.modelslab.com)

Run Maverick Efficiently
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MoE Architecture

### 17B Active 400B Total

Activates 17B parameters from 400B total across 128 experts for text and image tasks.

Native Multimodal

### Text Image Fusion

Processes multilingual text and images with early fusion for reasoning and vision.

Single H100 Fit

### FP8 Quantized Weights

FP8 weights load on one H100 GPU while preserving quality for fast inference.

Examples

See what Llama 4 Maverick Instruct (17Bx128E) can create
---

Copy any prompt below and try it yourself in the [playground](/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8).

Chart Analysis

“Analyze this sales chart image. Extract key trends, compare quarters, and suggest optimizations. Output in JSON with metrics.”

Code Debug

“Review this Python function for errors. The code processes image data from a multimodal dataset. Fix bugs and optimize for MoE efficiency.”

Doc Reasoning

“Read this technical document image on MoE architectures. Summarize Llama 4 Maverick specs, including parameter counts and context length.”

Multilingual Query

“Translate and reason about this French diagram on AI inference. Explain H100 deployment in English, list pros and cons.”

For Developers

A few lines of code.
Instruct via API. One call.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Llama 4 Maverick Instruct (17Bx128E)
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[Read the docs ](https://docs.modelslab.com)

### What is Llama 4 Maverick Instruct (17Bx128E)?

### How does llama 4 maverick instruct 17bx128e API work?

### Is Llama 4 Maverick Instruct (17Bx128E) model multimodal?

### What makes Llama 4 Maverick Instruct (17Bx128E) alternative better?

### Llama 4 Maverick Instruct (17Bx128E) LLM context length?

### Where to access llama 4 maverick instruct 17bx128e api?

Ready to create?
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Start generating with Llama 4 Maverick Instruct (17Bx128E) on ModelsLab.

[Try Llama 4 Maverick Instruct (17Bx128E)](/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*