{
  "id": 3335595,
  "title": "IBM’s new Granite 4.2 models add reasoning and stay dense",
  "url": "https://urgent.news/2026/08/25/ibms-new-granite-4-2-models-add-reasoning-and-stay-dense",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T19:13:45.000Z",
  "source": {
    "name": "The New Stack",
    "slug": "the-new-stack",
    "url": "https://thenewstack.io/ibm-granite-reasoning-models/"
  },
  "original_language": "en",
  "account": "IBM unveiled its latest family of open-weight Granite large language models (LLMs) on Tuesday, featuring 3 billion, 8 billion, and 30 billion parameters. The company is taking a unique approach compared to its competitors, focusing on dense, decoder-only reasoning models that are pre-trained from scratch. While many recent models have shifted towards hybrid Mamba/attention architectures, IBM returned to the all-attention, dense Transformer architecture with Granite 4.1 before releasing the reasoning-focused Granite 4.2 family.\n\nThe 4.2 models support both reasoning and non-thinking modes, with an additional low-effort mode that minimizes reasoning for easy questions. Although not multi-modal like some competitors, IBM offers Granite Vision 4.1 4B for text-image tasks. Pre-training involved 15 trillion tokens, including 1 trillion synthetic code tokens, and IBM incorporated reinforcement learning from human feedback (RLHF) to improve complex, multi-step agentic tasks.\n\nIn benchmark tests, the smaller 8B model often performs comparably to the larger 30B model, making it accessible even on lower-end GPUs. IBM emphasizes that the main advantage of the Granite 4.2 models lies in their performance in high-throughput agentic tasks, enabling AI systems to plan, call applications, and execute complex tasks reliably while remaining cost-effective for enterprises.",
  "summary": "On Tuesday, IBM launched the latest family of its open-weight Granite large language models (LLMs). Weighing in at 3 billion, The post IBM’s new Granite 4.2 models add reasoning and stay dense appeared first on The New Stack .",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}