Best Multimodal Models for Llama

Llama 4 Behemoth, with 288 billion active parameters, is Meta's flagship AI model, setting new standards for multimodal performance. Outpacing its predecessors like GPT-4.5 and Claude Sonnet 3.7, it leads the field in STEM benchmarks, offering cutting-edge results in tasks such as problem-solving and reasoning. Designed as the teacher model for the Llama 4 series, Behemoth drives significant improvements in model quality and efficiency through distillation. Although still in development, Llama 4 Behemoth is shaping the future of AI with its unparalleled intelligence, particularly in math, image, and multilingual tasks.

Llama 4 Maverick is a cutting-edge multimodal AI model with 17 billion active parameters and 128 experts, setting a new standard for efficiency and performance. It excels in diverse domains, outperforming other models such as GPT-4o and Gemini 2.0 Flash in coding, reasoning, and image-related tasks. Llama 4 Maverick integrates both text and image processing seamlessly, offering enhanced capabilities for complex tasks such as visual question answering, content generation, and problem-solving. The model’s performance-to-cost ratio makes it an ideal choice for businesses looking to integrate powerful AI into their operations without the hefty resource demands.

Llama 4 Scout is an advanced multimodal AI model with 17 billion active parameters, offering industry-leading performance with a 10 million token context length. This enables it to handle complex tasks like multi-document summarization and detailed code reasoning with impressive accuracy. Scout surpasses previous Llama models in both text and image understanding, making it an excellent choice for applications that require a combination of language processing and image analysis. Its powerful capabilities in long-context tasks and image-grounding applications set it apart from other models in its class, providing superior results for a wide range of industries.

SAM Audio represents a cutting-edge advancement in AI technology aimed at precise audio segmentation and editing. This innovative tool empowers users to separate individual sounds from intricate audio compositions by utilizing intuitive prompts that reflect natural thought processes regarding sound. Users can easily input descriptive phrases like “eliminate dog barking” or “retain only the vocals,” interact with objects in a video to extract their corresponding audio, or highlight specific time intervals where desired sounds are present, all within a cohesive platform. Accessible through Meta’s Segment Anything Playground, SAM Audio allows users to upload their own audio or video files to immediately explore its features. Additionally, it can be downloaded for implementation in personalized audio projects and research endeavors. Unlike conventional audio editing tools that are limited to specific tasks, SAM Audio excels in accommodating a variety of prompts and accurately handling diverse real-world soundscapes, making it a versatile choice for audio manipulation. This level of flexibility and user-friendliness sets it apart from traditional solutions in the industry.