IBM launches self-hosted Granite 4.2 LLMs with agentic training and reasoning focus

IBM released Granite 4.2, an open-weight family of large language models available in 3B, 8B, and 30B parameter sizes, designed for local deployment. The 8B and 30B variants include agentic reinforcement learning for tool use, while all models feature a 128,000-token context window and a reasoning-oriented approach via chain-of-thought. The release targets enterprises seeking predictable, cost-effective alternatives to frontier cloud models.