Reasoning models think before answering, which is why they are slow and expensive. Granite 4.2 has a switch that turns it off, in the same checkpoint.

Three sizes, 3B, 8B and 30B, all dense and all Apache 2.0. Context is 131,072 tokens with a claimed 512K extension. The 30B scores 57.0 on SWE-bench Verified and 81.38 on RULER at 128K; the 8B scores 47.67. Pretraining ran to roughly 15 trillion tokens including a trillion of synthetic code, followed by agentic reinforcement learning on the two larger models.

Why this one is different

The thinking switch is the design decision worth noticing. Most labs ship reasoning as a separate model, or as a mode you pay more for. One checkpoint that answers directly when the question is easy and reasons when it is not moves that choice to the application, which is where somebody actually knows which kind of question they just asked. At 3B it also runs on hardware a company already owns.

One checkpoint that answers directly when the question is easy, and reasons when it is not.

How we got here

1. 2024IBM opens the Granite line under Apache 2.0, aimed squarely at enterprises that will not send data to an API.
2. 2025 to 2026Reasoning becomes the frontier's main axis of progress, and mostly arrives as separate, slower, dearer models.
3. 25 Aug 2026Granite 4.2 puts both behaviours in one checkpoint, at three sizes, all Apache 2.0.

What it does and does not mean

A 30B model is not a frontier model and IBM do not claim otherwise. 57.0 on SWE-bench Verified is respectable and well behind the best closed systems, so the pitch is not capability, it is where the weights can sit. Benchmarks are also IBM's own runs. What the release is really about is the class of buyer who cannot use an API at all, and for whom the question was never which model is best but which model is allowed.