{"id":185138,"date":"2025-04-15T00:28:38","date_gmt":"2025-04-15T00:28:38","guid":{"rendered":"https:\/\/peraltafinancing.com\/apple-2\/smarter-faster-and-cheaper-ai-is-here-iphone-in-canada-blog\/"},"modified":"2025-04-15T00:28:38","modified_gmt":"2025-04-15T00:28:38","slug":"smarter-faster-and-cheaper-ai-is-here-iphone-in-canada-blog","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=185138","title":{"rendered":"Smarter, Faster and Cheaper AI Is Here \u2022 iPhone in Canada Blog"},"content":{"rendered":"


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\"Openai\"Openai<\/p>\n

OpenAI<\/a> just launched a new set of AI models called the GPT-4.1 family, and they\u2019re a big step up from previous versions.<\/p>\n

These models\u2014GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano<\/a>\u2014are now available to developers through OpenAI\u2019s API (the naming scheme could get better me thinks). They improve on everything from coding to understanding long documents, and they\u2019re also cheaper and faster to use.<\/p>\n

The flagship model, GPT-4.1<\/a>, is built for heavy tasks like software engineering, analyzing huge documents, or building AI tools that can follow complex instructions. It can handle massive inputs\u2014up to 1 million tokens (basically, a lot of text or code)\u2014and performs better than earlier versions in areas like writing code, following detailed instructions, and understanding long or complicated information.<\/p>\n

For example, it scored nearly 55% on a coding benchmark called SWE-bench, way ahead of previous models like GPT-4o, which scored around 33%. SWE-bench is a test that checks how well an AI can fix real bugs in real software projects by reading code and writing working solutions. That makes GPT-4.1 one of the best AI tools for real-world programming right now. It\u2019s also better at creating clean code edits and building web apps with better design and functionality.<\/p>\n

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Instruction-following is another big improvement. GPT-4.1 does a better job listening to what you actually want it to do\u2014like following formats, avoiding certain words, or keeping track of things in multi-step conversations. For tasks where you tell the AI, \u201cDon\u2019t do this\u201d or \u201cSay it in this order,\u201d GPT-4.1 is much more accurate, saving you time from re-prompting.<\/p>\n

OpenAI<\/a> also released GPT-4.1 mini and nano, smaller versions that are much cheaper and faster. The nano version, for instance, is OpenAI\u2019s quickest and most affordable model so far, good for simple tasks like sorting data or autocomplete.<\/p>\n

These new models are ideal for developers building tools that need to handle large amounts of information quickly and accurately\u2014like customer support agents, document analyzers, or tax and legal assistants.<\/p>\n

While GPT-4.1 isn\u2019t available directly inside ChatGPT yet, OpenAI says many of the improvements will show up in future updates to GPT-4o, which powers the ChatGPT experience for most users.<\/p>\n

GPT-4.5, a previous version meant for testing, will be shut down in July now that GPT-4.1 is more powerful and efficient.<\/p>\n

Interestingly enough, OpenAI Sam Altman has responded to criticism of the GPT naming model. \u201cHow about we fix our model naming by this summer and everyone gets a few more months to make fun of us (which we very much deserve) until then?\u201d said<\/a> Altman. That sounds more than fair.<\/p>\n

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