Meta: Llama 4 Maverick

meta-llama/llama-4-maverick

Description

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.

How this model compares

Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.

Price (per 1M tokens)

Min
Max
This model
336 models in this groupPrice (per 1M tokens)
Min
$0.04
Avg
$12.381012
Max
$750.00
This model: $0.60 / 1M tokens

Context length (tokens)

Min
Max
This model
336 models in this groupContext length (tokens)
Min
4,095 tokens
Avg
382,115.467 tokens
Max
10,000,000 tokens
This model: 1,048,576 tokens

Capabilities

Text + Image → TextContext: 1,048,576 tokens
Input:
TextImage
Output:
Text