Advanced multimodal AI model with superior reasoning and coding capabilities
Llama 4 Maverick employs a mixture-of-experts architecture, featuring 128 experts with a total of approximately 400 billion parameters, utilizing 17 billion active parameters per token. This design enables it to outperform models like GPT-4o and Gemini 2.0 in coding and reasoning benchmarks.
The model employs Meta’s mixture-of-experts (MoE) framework with active parameter counts of 400 billion. Maverick utilizes a large pool of 128 experts for task-specific activation.
Trained on curated datasets including multilingual corpora, image datasets, and synthetic reasoning examples.
Code Samples:
Detailed API Documentation is available here.
Llama 4 Maverick has implemented safeguards against misuse such as generating harmful content or violating user privacy during tool integrations.
Custom Llama 4 Community License
.png){kind=small}
.png){kind=small}
.webp)
