AI is increasingly at the heart of enterprise applications and software workflows. But even today’s most powerful AI systems rarely rely on a single model or capability. Instead, these systems tend to combine myriad technologies and abilities, including understanding language, perception and retrieval, as well as forecasting, and rigorous safety mechanisms, such as guardrails for harm detection. All of these can work together in tightly integrated AI workflows.That’s why today IBM released the Granite 4.1 collection, the latest versions of its family of Granite models, that reflect this reality. The release covers small language models (SLMs), as well as Granite speech, vision, embeddings, and Guardian models. The aim is for developers to easily consume these models in real-world, enterprise grade AI systems. And despite their size, these models pack a punch.Across the collection, Granite 4.1 features impressive language model performance in tool calling and instruction following; state-of-the-art transcription accuracy performance for the Granite speech models; harm detection capabilities delivered via Granite Guardian; and high leaderboard performance for Granite vision in table and chart extraction.