Llama 4 Scout 17B-16E

Llama 4 Scout 17B-16E is a multimodal model that uses the Mixture-of-Experts (MoE) architecture and early fusion, delivering state-of-the-art results for its size class.

Managed API (MaaS) specifications

Try in Vertex AI View model card in Model Garden

Model ID	llama-4-scout-17b-16e-instruct-maas
Launch stage	GA
Supported inputs & outputs	Inputs: Text, Code, Images Outputs: Text
Capabilities	Supported Batch predictions Function calling Structured output Not supported Llama Guard
Usage types	Supported Dynamic shared quota Provisioned Throughput Not supported Fixed quota
Knowledge cutoff date	August 2024
Versions	llama-4-scout-17b-16e-instruct-maas Launch stage: GA Release date: April 29, 2025
Supported regions
	Model availability	United States us-east5
	ML processing	United States Multi-region
Quota limits	us-east5: Max output: 8,192 Context length: 1,310,720
Pricing	See Pricing.

Deploy as a self-deployed model

To self-deploy the model, navigate to the Llama 4 Scout 17B-16E model card in the Model Garden console and click Deploy model. For more information about deploying and using partner models, see Deploy a partner model and make prediction requests.