Meta is making headlines not for social media updates but for its development of three new AI models focused on image, video, and coding capabilities. The initiative is being led by the company’s niche AI division, Superintelligence Labs (MSL), established earlier this year to advance cutting-edge AI research and applications.
One of the models, codenamed Mango, is an AI image and video generation system designed to compete with similar products from Google and OpenAI.
Reports suggest that Mango could be released by mid-2026, offering advanced visual content generation capabilities and leveraging world models to help AI understand and interact with real-world environments.
In addition to Mango, Meta is working on Avocado, a text-based large language model (LLM) tailored toward coding tasks. Avocado aims to support software development, enterprise solutions, and coding-related queries, aligning Meta with competitors who are exploring coding-focused AI, including Google’s and OpenAI’s offerings.
The third AI model remains under wraps, though it is expected to complement Mango and Avocado by expanding Meta’s AI portfolio into new domains of visual, textual, or multimodal intelligence.
These developments indicate Meta’s serious push into AI, directly challenging Google’s Nano Banana and Veo, as well as OpenAI’s ChatGPT Image and Sora models, demonstrating the company’s commitment to staying competitive in the rapidly evolving AI industry.
Superintelligence Labs’ approach emphasizes the use of world models, enabling AI systems to learn from visual inputs and develop a more nuanced understanding of real-world dynamics. This approach sets the stage for Meta to create AI tools that are not only generative but also context-aware, potentially transforming how users create and interact with digital content.
By combining advanced image, video, and coding capabilities, Meta’s upcoming AI models aim to establish the company as a formidable player in generative AI, closing the gap with established leaders and positioning it to influence the next wave of enterprise and consumer AI applications.
