IBM Granite 4.2: Dense Reasoning Models at 3B, 8B, and 30B
Questions this post answers
What parameter sizes does IBM Granite 4.2 come in and what license is it released under?
IBM Granite 4.2 ships in 3B, 8B, and 30B parameter dense models, all released under the Apache 2.0 license. The models are decoder-only with an all-attention Transformer architecture rather than a hybrid Mamba/attention design, continuing the approach IBM used with Granite 4.1. Track new open-weight model releases like this on daily.dev when picking a model to self-host.
How does the Granite 4.2 8B model compare to the 30B model in practice?
The 8B model runs efficiently on consumer hardware and gets surprisingly close to the 30B model's performance, making it the better value pick between the two dense Granite 4.2 options. The 30B model, meanwhile, is beaten across coding benchmarks by Qwen 3.8 27B. Compare model size trade-offs like this on daily.dev before choosing which LLM to deploy.
What context window does Granite 4.2 support and how was it achieved?
Granite 4.2 supports a context window extended to 512,000 tokens through a five-phase pretraining strategy, even though the models are natively trained at 128K tokens. Pretraining used roughly 15 trillion tokens total, including a full trillion tokens of synthetic code from IBM's CodeAlchemy pipeline. Follow context-window and training details like these on daily.dev when evaluating LLMs for long-context tasks.