Meta Llama
Meta: Llama 4 Maverick
meta-llama/llama-4-maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
1,048,576
tokens
Max output
16,384
1.6% of the context window
Parameters
401,583,781,376
Model facts
Author
Meta Llama
Tokenizer
Llama4
Modality
Text + Image -> Text
License
Other
Knowledge cutoff
2024-08-31
Created
Apr 5, 2025
Hugging Face
meta-llama/Llama-4-Maverick-17B-128E-Instruct
Publication status
Modalities
Generation controls
Capability scores
Better than 2% of models compared
Better than 11% of models compared
Better than 20% of models compared
Creative tasks
Category performance
899 Elo
40.8% win
901 Elo
40.2% win
882 Elo
38.4% win
881 Elo
35.8% win
873 Elo
34.4% win
839 Elo
33.7% win