Granite 3.1

Granite 4.2

IBM

Granite 4.2 adds native reasoning and reasoning-guided tool use to IBM’s open enterprise language models. The release includes 3B, 8B, and 30B checkpoints with full, low-effort, and non-thinking modes, allowing developers to select a latency and reasoning tradeoff. Multi-stage reinforcement learning targets coding, mathematics, science, and agent execution. All sizes natively support 128K context; the 30B checkpoint additionally supports a documented extension to 512K. Apache-licensed weights enable private deployment and customization. The family page groups sizes while preserving their individual checkpoint names as variants.

Granite SWASH

IBM

Granite SWASH is IBM Research’s open architectural preview for efficient language modeling. The family explores sliding-window attention at every layer, learnable attention sinks, and hybrid transformer designs, with dense 2B and sparse 3B checkpoints. The sparse model activates approximately 600M parameters. These are general-purpose English base models for research and customization, rather than instruction-ready assistants. Apache-licensed weights allow study of the architecture and downstream training; chat and tool behavior should not be inferred from the base release.

Granite Switch 4.1 Preview

IBM

Granite Switch 4.1 Preview adds explicit switching between ordinary language behavior and specialized programmatic capabilities. It is designed to combine a general model with deterministic functions through IBM’s Granite Libraries and Mellea tooling. The release includes 3B, 8B, and 30B language checkpoints under Apache 2.0, with 128K context for the representative 30B model. This is a publicly released preview, distinct from the ordinary Granite 4.1 family. Applications must supply the associated runtime to use specialized functions reliably.