Llama-4-Scout-17B-16E-Instruct

Name: Llama-4-Scout-17B-16E-Instruct
Author: DeepInfra

llama109B

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. Llama 4 Scout, a 17 billion parameter model with 16 experts

Context

328K

Max output

16K

Input price

$0.1/1M tokens

Output price

$0.3/1M tokens

Capabilities

Show unsupported (3)

Reasoning & Interaction

Tool Calling

Output Control

Structured Output

JSON Mode

Infrastructure

Streaming

Fine-tuning

Details

Model IDmeta-llama/Llama-4-Scout-17B-16E-Instruct

ProviderDeepInfra

CreatorMeta Llama

FamilyLlama-4

Licensellama

Statusactive

Typechat

Input modalitiestext, image

Output modalitiestext

Open weightYes

Parameters109B

Architecture—

Context window328K tokens

Max input—

Max output16K tokens

Reasoning tokens—

Knowledge cutoff—

Release date2025-04-02

Sourceofficial

Tools

Function Callingfunction_calling

Call external functions and APIs

Endpoints

Chat CompletionsPOST

Generate chat responses with messageshttps://api.deepinfra.com/v1/openai/v1/chat/completions

Pricing

Input

$0.1

Output

$0.3

Cache write

—

Cache read

—

Batch in

—

Batch out

—

Family Comparison: Llama-4

Model	Caps	Perf	Speed	Context	Max out	Pricing
Llama-4-Scout-17B-16E-Instruct	TJJMSF	—	—	328K	16K	$0.1$0.3
Llama-4-Maverick-17B-128E-Instruct-FP8	TJJMSF	—	—	1.0M	16K	$0.2$0.8

API

GET/v1/models/deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct