--- title: IBM’s new Granite 4.2 models add reasoning and stay dense description: IBM released Granite 4.2, a family of open-weight dense, decoder-only LLMs at 3B, 8B, and 30B parameters under an Apache 2.0 license. Unlike much of the... canonical: https://daily.dev/posts/ibm-s-new-granite-4-2-models-add-reasoning-and-stay-dense-4p9swqqwr twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: IBM’s new Granite 4.2 models add reasoning and stay dense | daily.dev og:description: IBM released Granite 4.2, a family of open-weight dense, decoder-only LLMs at 3B, 8B, and 30B parameters under an Apache 2.0 license. Unlike much of the... og:url: https://daily.dev/posts/ibm-s-new-granite-4-2-models-add-reasoning-and-stay-dense-4p9swqqwr og:image: https://api.daily.dev/og/posts/4P9sWQqWr.png og:image:alt: IBM’s new Granite 4.2 models add reasoning and stay dense og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # IBM’s new Granite 4.2 models add reasoning and stay dense **[The New Stack](https://daily.dev/sources/newstack)** · 4 min read · 1 upvotes · 0 comments ## Summary IBM released Granite 4.2, a family of open-weight dense, decoder-only LLMs at 3B, 8B, and 30B parameters under an Apache 2.0 license. Unlike much of the industry, IBM stuck with an all-attention Transformer architecture rather than hybrid Mamba/attention designs, following the earlier Granite 4.1 return to dense models. The new release adds a reasoning-focused design with thinking, non-thinking, and low-effort modes, a context window extended to 512,000 tokens (natively 128K), and pretraining on 15 trillion tokens including 1 trillion tokens of synthetic code from IBM's CodeAlchemy pipeline. The 8B and 30B models received additional agentic reinforcement learning for tool calling, code editing, terminal use, and web search. IBM also launched two new Granite Speech recognition models the same day. Benchmarks are unremarkable and coding performance is inconsistent, with Qwen 3.8 27B outperforming Granite across the board, though the 8B model runs efficiently on consumer hardware and performs close to the 30B model. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What parameter sizes does IBM's Granite 4.2 model family come in? Granite 4.2 ships in 3 billion, 8 billion, and 30 billion parameter versions, all dense decoder-only Transformer models pretrained from scratch under an Apache 2.0 license. The 8B and 30B versions received extra agentic reinforcement learning for tool calling, code editing, terminal use, and web search, while the 3B model supports only basic tool calling. _Track new open-weight model releases like this one as you pick models for agentic workloads on daily.dev._ ### What is the context window size for IBM Granite 4.2 models? Granite 4.2 models support up to a 512,000-token context window after a long-context training phase, though the released configuration natively supports 128K tokens. The models were pretrained on 15 trillion tokens across five training phases, including 1 trillion tokens of synthetic code generated by IBM's CodeAlchemy pipeline. _daily.dev helps engineers comparing context-window claims across model releases stay current._ ### Why did IBM keep Granite 4.2 as a dense architecture instead of switching to a Mamba/attention hybrid like Nvidia's Nemotron 3? IBM experimented with hybrid Mamba/attention and MoE architectures in Granite 4.0 but returned to an all-attention dense Transformer starting with Granite 4.1, arguing dense models perform better while using a simpler, more flexible architecture for fine-tuning downstream tasks. Granite 4.2 continues this dense approach while adding optional reasoning modes. _daily.dev surfaces architecture tradeoff debates like dense versus hybrid models for teams choosing an LLM._ --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#ibm](https://daily.dev/tags/ibm) [View this post on daily.dev](https://daily.dev/posts/ibm-s-new-granite-4-2-models-add-reasoning-and-stay-dense-4p9swqqwr) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"IBM’s new Granite 4.2 models add reasoning and stay dense","url":"https://daily.dev/posts/ibm-s-new-granite-4-2-models-add-reasoning-and-stay-dense-4p9swqqwr","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/ibm-s-new-granite-4-2-models-add-reasoning-and-stay-dense-4p9swqqwr"},"datePublished":"2026-08-25T19:17:56.079Z","dateModified":"2026-08-25T20:21:48.201Z","description":"IBM released Granite 4.2, a family of open-weight dense, decoder-only LLMs at 3B, 8B, and 30B parameters under an Apache 2.0 license. 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