Llama 4 Maverick

About 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.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Meta Model Lineup

Compare all models from Meta to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Rocinante 12B

Thedrummer

Input: $0.25

Output: $0.50

Context: 66k

Qwen3 VL 30B A3B Instruct

Alibaba Qwen

Input: $0.15

Output: $0.60

Context: 262k

GPT-4o-mini Search Preview

OpenAI

Input: $0.15

Output: $0.60

Context: 128k

Qwen2.5 VL 72B Instruct

Alibaba Qwen

Input: $0.15

Output: $0.60

Context: 128k

💡 Cheaper Alternatives

Same Brand (Meta)

Cross Brand

🚀 Quick Start

Get started with Llama 4 Maverick API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="meta-llama/llama-4-maverick-17b-128e-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision