Microsoft Phi-4 Reasoning 14B
Microsoft's 14B reasoning model fine-tuned for chain-of-thought on math, science, and code.
Microsoft's Phi-4 Reasoning 14B 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.
- Released
- Apr 2025
- Pricing
- Free, runs on your hardware
Samples
Generated with Phi-4 Reasoning 14B 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.
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 is a set of instructions that lets one computer program request information or perform actions on another program. It defines a clear way for them to communicate and work together without exposing their internal workings.
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.
For a two-person startup, it’s best to use a hosted authentication provider. This allows you to focus on building your core product without the overhead of developing and maintaining a robust, secure authentication system on your own. The single strongest argument against this recommendation is that relying on a third-party provider can lead to vendor lock-in, potentially limiting your control over the authentication process and reducing flexibility when you need custom features or integrations in the future.
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.
Artificial intelligence spending is challenging to forecast because of rapidly evolving technology, fluctuating market conditions, and internal organizational dynamics. First, technological advances occur at a pace that continuously reshapes costs and capabilities. This constant evolution creates uncertainty in budgeting and planning processes. Second, market dynamics such as supply chain disruptions, vendor pricing fluctuations, and regulatory changes can unexpectedly influence investment decisions. Third, internal factors including shifting organizational priorities, workforce skill gaps, and evolving strategic objectives may lead to inconsistent funding allocations. As a result, companies often struggle to predict long-term expenditures accurately. Executives can address these uncertainties by adopting flexible budgeting practices and implementing regular review cycles. Scenario planning and risk management strategies can help accommodate unexpected changes and align investments with business goals. Moreover, fostering cross-departmental collaboration and clear communication channels ensures that spending decisions are informed by both technical insights and market realities. By remaining agile and continuously reassessing priorities, companies can better navigate the complexities of AI investments and effectively allocate resources to drive innovation and competitive advantage. To effectively manage these challenges, companies should invest in ongoing training for staff and maintain open communication with technology partners. This proactive approach can help adapt to new trends and reduce AI spending unpredictability.
Microsoft
Microsoft builds the open-weight Phi family of small language models for reasoning, math and code. Microsoft AI also makes MAI-Transcribe, a speech-to-text model that covers 60 languages.
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