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Text · Released Apr 2026

IBM Granite 4.1 8B

IBM's 8B dense decoder-only foundation model for general instruction-following, RAG, and code tasks.

From IBM, Granite 4.1 8B is an open-weight text model. It takes a text prompt and replies with generated text. It runs entirely on your own hardware through Ollama: no API key and no per-use fees.

Modality
Text
Available on
Model ID
ollama:granite4.1:8b
Supported OS
macOSWindowsLinux
Minimum machine configuration
16 GB RAM · 128K ctx · text · CPU/GPU
Download size · ~5.3 GB
Specs
Released
Apr 2026
Pricing
Free, runs on your hardware
Text rank
#286
Code rank
#148
Real outputs

Samples

Generated with Granite 4.1 8B via Ollama. The same three prompts run against every text model in the catalog, shown verbatim, so the only thing that changes between two models’ answers is the model.

Short answer45 / 50 words

Explain what an API is to someone who has never written code. Do not use a restaurant or waiter analogy. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 50 words.

An API, or Application Programming Interface, is a set of rules and protocols that allows different software applications to communicate with each other, enabling them to share data and functionalities seamlessly, much like a set of instructions that lets different programs understand how to interact.

Medium answer144 / 150 words

A two-person startup is deciding whether to build their own user authentication or use a hosted provider. Give them a clear recommendation, then the single strongest argument against your own recommendation. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 150 words.

I recommend that the two-person startup use a hosted authentication provider. This choice allows the founders to focus on developing their core product rather than spending valuable time and resources building and maintaining a secure authentication system from scratch. Hosted solutions, such as Auth0 or Firebase Authentication, offer robust security features, scalability, and ongoing maintenance, reducing the risk of vulnerabilities and ensuring compliance with industry standards. The cost of these services is often justified by the time saved and the peace of mind provided. The strongest argument against this recommendation is that using a hosted provider may introduce dependency on a third-party service, which could pose risks if the provider experiences downtime, changes pricing structures, or undergoes policy updates that require significant adjustments to the startup's application. However, these risks are typically manageable and outweigh the benefits of immediate development speed and security assurances.

Long answer197 / 190–220 words

Write a briefing for a non-technical executive explaining why their company's spending on AI is hard to predict, and what they can do about it. Cover at least three distinct causes. Plain prose only — no headings, bullet points, or markdown formatting. Write exactly 205 words.

The company's spending on artificial intelligence (AI) is challenging to predict due to several interrelated factors. Firstly, the rapidly evolving nature of AI technology means that new tools and methodologies emerge frequently, each potentially offering superior performance or cost efficiencies. This constant innovation can lead to unexpected expenses as the organization may need to upgrade or replace existing systems to stay competitive, thereby altering budget allocations. Secondly, the complexity of AI projects often results in unforeseen challenges. These can range from data quality issues to integration problems with existing infrastructure, both of which can extend project timelines and increase costs. Finally, the market dynamics surrounding AI are highly variable. Competition, regulatory changes, and shifts in consumer demand can all influence the strategic importance of AI initiatives, compelling the company to adjust its investment levels in response to these external pressures. To mitigate these uncertainties, the executive should adopt a flexible budgeting approach that includes contingency funds for unforeseen expenses. Regularly reviewing AI project progress and market conditions will enable timely adjustments. Additionally, fostering a culture of innovation and continuous learning within the team can help anticipate and respond to technological advancements more effectively, ultimately stabilizing AI-related expenditures.

About the creator

IBM

IBM Research builds the open-weight Granite family — efficient foundation models tuned for enterprise instruction-following, RAG, code, and tool use.

www.ibm.com/granite ↗
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