Llama 4 Maverick Instruct

Name: Llama-4-Maverick-17B-128E-Instruct
Author: Facebook AI Research Lab

Multimodal modelLlama 4

Llama-4-Maverick-17B-128E-Instruct

Release date: 2025-04-05Updated: 2025-04-15Views: 939

Live demoGitHub Hugging Face Compare

Parameters

400B

Context length

1000K

Multilingual

Supported

Reasoning ability

2/5

Llama-4-Maverick-17B-128E-Instruct is an AI model published by Facebook AI Research Lab, released on 2025-04-05, for Multimodal model, with 400B parameters, and 1000K context length, requiring about 218GB storage, with a 858.40 score on Creative Writing.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Llama 4 Maverick Instruct

Model basics

Reasoning traces

No data

Thinking modes

Thinking modes not supported

Context length

1000K tokens

Max output length

4K tokens

Model type

Multimodal model

Modality (in / out)

Text, Image, Audio, Video → Text

Release date

2025-04-05

Model file size

218GB

MoE architecture

Total params / Active params

400B / Not applicable

Knowledge cutoff

No data

Llama 4 Maverick Instruct

Open source & experience

Code license

Weights license

- Commercial use permitted

GitHub repo

github.com/meta-llama/llama-models/tree/main/mo…

Hugging Face

huggingface.co/meta-llama/Llama-4-Maverick-17B-…

Live demo

N/A

Llama 4 Maverick Instruct

Official resources

Paper

DataLearnerAI blog

N/A

Llama 4 Maverick Instruct

API details

API speed

4/5

No public API pricing yet.

Llama 4 Maverick Instruct

Benchmark Results

Llama 4 Maverick Instruct currently shows benchmark results led by MMLU Pro (62 / 176, score 80.50), GPQA Diamond (326 / 462, score 69.80), LiveCodeBench (180 / 250, score 43.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.