Llama 4 Maverick Instruct (17Bx128E)
Multimodal MoE Power
Run Maverick Efficiently
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.
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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Llama 4 Maverick Instruct (17Bx128E) on ModelsLab.