openai

Microsoft has just made the greatest investment in its history. And not in Openai, but in an unknown Dutch company

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Nebius Group, an unknown company based in Amsterdam, has signed a surprising multiannual agreement worth $ 19.4 billion with Microsoft. It is in fact the largest investment ever made by the firm of Redmond, and the question, of course, is why. What is Nebius Group. The company was founded in 1989 as Yandex NV, Yandex’s legal matrix, the well -known search engine that was a rival of Google in Russia. After the invasion of Ukraine by Russia, Nebius Group Yandex sold to a group of Russian investorschanged his name to the current one and focused on a key segment: that of artificial intelligence. Data centers to power. Specifically, in the field of servers and data centers. Since then Nebius Group has been dedicated to providing cloud infrastructure for companies that develop and run AI models. Your rivals They are companies such as Coreweave, Crusoe or Lambda Labs, which are a step below the “hyperscators”, Aws, Azure, Google Cloud or Oracle. The agreement. In it Document registered in the SEC The US indicates that Nebius will yield the computing capacity of the GPUS of its data centers in varisa phases this year and the one that comes, and that the total value of the contract will be 17.4 billion until 2031, with an option for Microsoft to extend those services worth 2,000 million additional dollars. Microsoft cloud reinforcement. The agreement will allow Microsoft to access the computing resources available to Nebius in its Vineland Data Center (New Jersey, USA). It is a movement clearly for solve the shortage of resources that is coming when managing AI workloads: more and more users make use of this type of technology and Microsoft current data centers have a limited capacity. More than OpenAi. The operation is even greater than the one that Redmond’s firm He did in Openai Estimated at $ 13,000. This alliance has allowed Microsoft to have exclusive access to OpenAi’s models and reuse them in the form of its Copilot platform. Meanwhile, Openai has been able to use the Microsoft infrastructure to train and serve those same models to the general public. Nebius rises to the beast in the stock market. The agreement has triggered the value of Nebius’s shares, which had already folded their value in what we had been, but after the news They have grown 60%. The effect is contagious, because one of its srival, Coreweave, has also risen 5% in the stock market without having made any announcement: it has simply become possible candidate for Microsoft or any other large company to invest in its services soon. European taste centers. Although it has roots in Russia, Nebius seems to want to leave that past behind to settle definitively in the European Union. The company current account with five data centers: three operations (Helsinki, New Jersey and Kansas City) and two in development (Keflavik, in Iceland, and Paris). The focus on the installation of data centers in European territory is clear, as these last two projects in full development demonstrate. Another great “European” unicorn. After the creation of its Data Center in Paris – which will presume to have N200 N200 chips – Nebius announced its intention to invest more than 1,000 million dollars in mid -2025 in its AI infrastructure in Europe. Its new data centers in Paris and Iceland demonstrate that vocation, and the company is managing to capitalize on that commitment to AI. It is undoubtedly one of the last protagonists of the European technological scene, which little by little begins to raise alternatives. Freepik did it in Spainthey have done it Mistral and ASML with its unique agreement This week, and now Nebius does. Image | Nebius In Xataka | The ASML-Mistral alliance reveals the European plan B: if we cannot manufacture chips, we will at least control how they are manufactured

When you are openai and you can’t buy enough GPU, the solution is obvious: manufacture yours

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Openai will create its own artificial intelligence chips. It is a crucial decision for the future of your business, but the ally you have chosen to do it: Broadcom. When the river sounds. The runrún has been listening Since the beginning of 2024. Nvidia, owner and lady of the segment of the AI ​​accelerators, was an ally too powerful for OpenAi. The solution was clear: develop its own chips with which to minimize that dependence. Broadcom takes chest. Hock Tan, Broadcom CEO, yesterday told investors that the company had closed an agreement with a mysterious client that would invest 10,000 million dollars in AI chips. Although Broadcom did not reveal the client’s name, sources close to those agreements indicated In Financial Times that this client is none other than OpenAi. Neither Broadcom nor this last company have confirmed the data. Xpus to power. Those chips, to those who referred as Xpus, are a kind of specialized and personalized variant of the NVIDIA or AMD accelerators. We have the perfect example in the TPUS (Tensioner Processor Units) that Google presented almost a decade ago And that has been improving generation after generation (we are already going for the seventh generation, called Ironwood). Broadcom, by the way, has collaborated in the development of these Google chips, so it has overdue experience in that area. Own chips for internal use. According to sources close to this collaboration, Openai aims to use these internal AI chips, and there are no plans to offer them to external clients. That reinforces the theory that Openai wants to create data centers with these own chips to avoid (or at least mitigate) the dependence of Nvidia. Nvidia will have (a lot) competition. Nvidia dominates Iron fist This segment, but has long for the rivals – both in the West as in the East – work to make their monopoly in this sector disappear. Microsoft He has MaiaAmazon His trainiumGoogle its aforementioned TPU and AMD of course Your instinct. To goal It is about it. But Cuda remains the “Moat” of Nvidia. Of course the true key to Nvidia overwhelming success is not so much in its chips and in the fact that its architecture CUDA is de facto standard In this market and all AI systems developers usually base their projects on that platform. It is the “Moat” of Nvidia, that “pit” that allows you to protect its “castle” from the rivals and continue dominating the market. And here there are also attempts to avoid the dependence of the company, and among them Those from China stand out. And TSMC, what? The funny thing is that for months it seemed that The ally that Openai had sought To carry out this project was the most important semiconductor manufacturer in the world, TSMC. Earl this year that collaboration It seemed to go on the right track and several sources pointed out that we would have the first OpenAI GPUS for 2026. It may simply have chosen to have a plan B (TSMC) to avoid its dependence on NVIDIA, but also prepare a C (Broadcom) plan. Image | Qualcomm In Xataka | China’s self -sufficiency test in chips for AI is already here: it has not bought Nvidia or a single H20 GPU in the last quarter

The suicide of a teenager unleashed a crisis in Openai. We already have the first measures that will arrive in Chatgpt

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The chatbots of AIs are in the spotlight for their possible risks on mental health, especially chatgpt. We recently deepened this problem following the accusations that Chatgpt was the culprit of causing delusions and even the suicide of a teenager In the United States. Although we already saw that reality is much more complex that a simple “the fault is AI”, OpenAi has responded to the wave of criticism and already has A package of measures that will integrate into chatgpt To avoid more similar cases. OpenAI’s plan. In response to the controversy after the case of Adam Raine, Openai has detailed the measures that will reach Chatgpt, which will focus on facilitating access to emergency services, contacting trustworthy people and reinforcing protection measures focused on adolescents. The company puts a period of 120 days to integrate these novelties, although it warns that some will take a little more than others. Reasoning models. GPT-5 Choose the best model automatically depending on the needs. One of the solutions proposed by Openai for conversations that take a worrying address is to automatically direct them to their reasoning model, regardless of the user selected. Parental control. It will arrive next month and the minimum age to use will be 13 years. Parents can link their children’s account to their own and can deactivate functions such as chat memory and history. In addition, they will receive a notification if it detects that their son “is in a moment of acute anguish.” Collaboration with experts. OpenAI ensures that all these improvements will be implemented under the supervision of mental health experts. For some time they have an artificial welfare and intelligence experts that has been expanded with experts in addictions, eating disorders and adolescent health. The demand. It is not the first case in which Chatgpt is placed as responsible for a mental health crisis, but one of the most popular. Adam Raine’s parents They sued Openai after their son’s suicideclaiming that Chatgpt validated his “most harmful and self -descetive thoughts.” In some of his conversations he came to discuss details of how to make the knot in the rope with which he planned to commit suicide. Weak safeguards. In his Fake Friend reportthe ‘Center for the Fight against Digital Hate’ has already verified that the safeguards of chatbots are very fragile and the case of Adam Raine corroborates it. Chatgpt detected several times that there was a risk of self -injuries and insisted to call the suicide prevention line, Adam managed to dodge these messages simply telling him that he was looking for information for a fiction story. The new parental control sounds like the first stronger measure against this problem. Image | Kaboomps, via Pexels In Xataka | In 2011 someone published in Reddit “A858”. Fourteen years and thousands of messages later, the mystery is still disound

Microsoft prefers its own 7 that a 10 of OpenAi. The 13,000 million invested in Openai have just gosses meaning

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Microsoft has launched Mai-1his first model of the fully developed at home. This In the 13th position of Lmarenabelow those of Anthropic, Depseek, Google and, of course, OpenAi. It is not the best model and is not even close, but that could be exactly what Satya Nadella had in mind. Why is it important. Technological do not need absolute excellence to master markets. They need control, integration and margins. Microsoft has understood it since the time of MS-DOS: it is better to have a sufficiently good product than to depend on the excellence of others. Windows was never the best operating system. Internet Explorer was not the best browser. Excel is the best, but it took years to overcome Lotus 1-2-3. All, in any case, ended up dominating their markets because Microsoft controlled development, distribution and, above all, integration with the rest of their ecosystem. The money trail. The 13,000 million that Microsoft has invested in Openai They begin to seem less one bet and more a university enrollment. Microsoft has paid for: Early access to GPT technology while building its own infrastructure. Time to learn what works in the pressure of being pioneers. Instant credibility of offering “the best model” through COPILOT. A perfect excuse to build large gpus clusters that now uses for Mai-1. Suleyman has made it clear: they have trained Mai-1 with 15,000 gpus H100 (Grok uses 100,000, to compare) and have a new generation GB200 cluster operational. This infrastructure was not built to run OpenAi models. It was built for this. The current situation. Mai-1 does not compete in gross abilities. But it has advantages that Openai can never offer: Microsoft completely controls development. They can optimize it specifically for Windows, Office and Azure without asking anyone permission. They can adjust costs, latency and capabilities according to their exact needs. The voice is important. Mai-Voice-1 generates a minute of audio in less than a second with a single GPU. They do not need to be the best in text processing if they dominate The interface they believe of the future: The voice. Yes, but. A model in the 13th position remains a model in the 13th position. Business users who pay thousands of dollars for co -pilot surely expect the best, not “good enough.” Microsoft knows it and that’s why they are not replacing GPT-5 immediately. Mai-1 is gradually introduced in “specific use cases” while improving. This is its 1.0 version. GPT-5 is the fifth great iteration of OpenAI. They have room to grow. The decisive moment. The true test will come when Microsoft has to choose: renew the agreement with OpenAi or bet on their own models? With Mai-1, Microsoft has shown that it has a viable alternative. It does not need to be better than GPT-4. You just need to be good enough for the 250,000 million annual revenues of Microsoft not depending on Sam Altman’s whims. In a negotiation, the best position is to be able to get up from the table. Microsoft has just bought the chair. In Xataka | China’s self -sufficiency test in chips for AI is already here: it has not bought Nvidia or a single H20 GPU in the last quarter Outstanding image | Microsoft

Microsoft opted everything to OpenAi to win the AI ​​race. Start realizing your mistake

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In April 2019, a small group of Openai engineers flew to Seattle to make a demo of a GPT-2 Supervitaminated Version A Bill Gates. Microsoft’s co -founder was impressed, and made clear his intention to invest in the company led by an almost absolutely unknown Sam Altman. In Redmond, Gates’ opinion took into account, and shortly after the events precipitated. The company’s cto, Kevin Scott, wrote an email Shortly after, in June, Nadella already Gates to warn of the danger of being behind. He was “very, very worried.” Nadella agreed. A month later, on July 22, 2019, Microsoft advertisement a Investment of 1,000 million dollars In OpenAi. That seemed love at first glance. That money promoted Openai’s efforts, which continued to develop its models and that in August 2020 launched an amazing GPT-3 But without opening it to the general public. Two years later, the bombing: OpenAi announced chatgpt without knowing that this would detonate the current AI fever. This divorce can be very expensive to Microsoft The initial impact was amazing, and Chatgpt became On the fastest platform he had grown up in history of the Internet. In two months he had already attracted 100 million users, and Microsoft, wanting to take another step in that idyllic relationship with Openai, redoubled its commitment to the company. Or multiplied it, because in January 2023 advertisement a multimillionaire investment that is estimated – although the figure was never detailed— at 10,000 million dollars. That investment It seemed to be perfect For both companies. Among other things, Openai obtained access to Microsoft’s cloud infrastructure to train their models and offer them to the general public (inference). Meanwhile, Microsoft gained priority access to OpenAi models, which it could sell as if they were his. That is just what they did, first with GPT-3 as a Github Copilot baseand then Freaking of other “co -drivers” that were nothing more than a chatgpt rehash. And there began the problems for Microsoft. Above all, because little by little that theoretically idyllic relationship He began teaching his seams. The convenience marriage was no longer so satisfactory for both parties. On the one hand, Openai kept asking for more and more money and better conditions when using the Microsoft computing cloud. On the other, Microsoft, OPENAI’s totally slave For his AI options, he began to look for alternatives. Both decided to look for alternative plans. Openai searched Change girlfriend and of Alliesand After the rumors In April 2025 he announced the greatest financing round in history, which amounted to 40,000 million dollars. For his part, in Microsoft, knowing their Openai absolute dependencethey began to move in March 2024, when they created their own division of AI and put in front of it To Mustafa Suleymanco -founder of Inflection AI and before Deepmind. The objective: to develop their own foundational models to avoid being chained to OpenAI. How was the thing? For now, OpenAi very well. To Microsoft, not so much. The company led by Sam Altman has not stopped growing in users and In income. At the moment they are still insufficient to make it profitable, but there is a clear thing: Nowadays Chatgpt is what Google went to searches. There are options, yes, but for the vast majority of users, (almost) do not count. I may launch of GPT-5 has been disappointingbut still Altman’s strategy to sell promises and Hype -with the Stargate megaproject in front – it works. But for Nadella and yours are much more complicated. Despite Copilot’s absolute integration in all business areas, Microsoft is almost an “coupled” in the world of AI. A pay. Your own modelsPhi-3 and Phi-4 are interesting for their “Edge AI” (artificial intelligence that runs at home, as in our mobiles), but their performance and capacity has made them almost a laboratory experiment. The gigantic infrastructure of Azure is his great asset to make them indirect leaders of AI, but Suleyman’s leadership It is committed to the simple reason that the results of the Microsoft strategy are not especially visible. It doesn’t matter if Microsoft has a powerful Trojan horse in Windows to infiltrate AI solutions in the company: who are winning that battle They are Anthropic and, of course, OpenAi. Meanwhile, Suleyman himself published on his blog An article warning of the dangers of treating AI as a person and ensuring that we are close to seeing a “apparently conscious” that can aggravate that problem. It is a valid and important argument, but it leaves Microsoft just like it was: without its own models and without changes in a strategy of doubtful success. In spite of everything, Microsoft also has its badges For Microsoft the only consolation is that its gigantic investment in OpenAi gives you the right to participate in the benefits of that company. In fact, the tense current relationship between the two adds to Openai’s intentions of becoming a profit company. That has implications for the future of the relationship, and In The Information indicated that Altman has proposed yield to Microsoft 33% of the company But renouncing future benefits. Participation is enormous and very juicy for Redmond’s, especially now that Openai is valued in 300,000 million dollarsbut there is much more at stake. In fact, in that potential divorce the one that seems to be winning is Openai, which has some of the best foundational and popular models in the world (GPT-4O, GPT-5), and who is the beautiful girl in the market: everyone wants to stick to it. Meanwhile, Microsoft is staying absolutely behind in the market, at least compared to its rivals. Let’s see: Google: It has invested a lot and well in own models (Gemini, Deepmind) and has a gigantic infrastructure, software and data. Not to mention Android and his search engine, AI entrance door for billions of users. XAI: Although less remarkable, the startup created by Elon Musk has managed to stand up with a Grok with a very different approach –zero censorship– which has managed to integrate with some … Read more

OpenAi already enters 1,000 million dollars per month. They are crumbs compared to what you need to be profitable

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The launch of GPT-5 It has been rather disappointing for users at street level and has arrived accompanied by some problemssomething that has recognized the Sam AltmanCEO of OpenAi. However, it is sweeping a key sector: Companiesfor the quality of its reasoning models and its price. Not being a company that quotes in the stock market, the doubt is how much success translates into large income, and Sarah Friar, Financial Director of OpenAi has given a key fact: OpenAi has entered 1,000 million dollars in a month (July) for the first time in its history. Results as good as insufficient. Openai’s reality is that it is still early to celebrate a figure like that announced by Friar, especially when the executive recognized that artificial intelligence “right now is voracious in GPU and in a computational power.” In that sense, he affirmed that the biggest problem they face is “being constantly under computational capacity.” That is, the demand for the use of GPUs of its models is greater than the resources they have to cover it. The plan to cover your needs is clear, and Friar recalled it: “That is why we launch Stargate”, in reference to that Historical project In which partners such as Microsoft, Oracle, Nvidia and ARM participate, and in which they expect to spend 500,000 million. They expect, because There is still no single contract signedand find more sources of financing It is a huge challenge. With this financial context, the 1,000 million dollars that OpenAi already enters a month are totally insufficient. They look for solutions, but more complications arise along the way. The reality of artificial intelligence according to Sam Altman is that his demand will continue to grow, their training needs will continue to grow and spend “probably more aggressively than any company has done in something for progress.” Given this need, OpenAi seeks solutions, such as selling 6,000 million in shares with an assessment of 500,000 million dollars, after raise 40,000 million in a financing round at the end of Marchwith an assessment of 300,000 million. 18,000 million were going to dedicate themselves to the Stargate projector. The problem is that to get the last 30,000 million of that round, Openai had to become a “For-Profit” company, a path that He has recently abandoned. A problem structure of expenses. As much as Openai continues to have the confidence of large investors such as Softbank or Microsoft, the problem is that the company’s expenses are huge. Not being a quoted company we cannot know official figures, but estimates point to 8,000 million operating expenses per year (They do not count investments, infrastructure or other financial obligations). Even if it continues to enter the current rhythm (1 billion per month), in 2025 it would not go from 12,000 (the estimate they handled for this year, According to The Information). That is, only their operating expenses “eat” 66% of the operating expenses, which do not contemplate their higher volume investments. The cost scheme is very complicated, and Sam Altman came to affirm that They lost money even with chatgpt prothe subscription of 229 euros per month. And the profitability for when. According to An internal studyOpenai will lose 44,000 million dollars between 2023 and 2028, and 14,000 million only in 2026, the triple of those estimated by 2024. It will have to wait four more years, until 2029, so that the company exceeds the Break Even And I achieve The long -awaited profitability. It is something they estimate that they would get 100,000 million dollars annually. Right now, viral moments such as the generation of chatgpt ys imagesor explosion of images of Ghibli either help: “Derritate” servers with a huge cost. The good news is that Sarah Friar confirmed that they have seen acceleration in the adoption of payment subscriptions. But much remains to stop losing money. Image | Dima Solomin In Unspash, Village Global In Xataka | Google has finally revealed how much electricity and water consumes its AI. Estimates could not be more wrong

While everyone criticized GPT-5, Openai was winning the war that really matters: that of companies

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He GPT-5 launch It has been, in broad strokes, disappointing. Openai needed this model with this model bigger in the history of AIbut we have encountered a model that improves, but not spectacularly. And yet, it is achieving something that is more important than it seems: to convince companies. Companies

GPT-5 has many versions, but Openai decides which one to use for you

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Openai wants to simplify our lives, but maybe he has made a mistake in doing so. When you use GPT-5, you won’t know which GPT-5 version you will be using. Because although Openai has raised it as a “unified model”, it is actually using variant distress according to the scenario and, of course, according to what you pay. And not knowing what he is using at all times is a blessed? problem. Welcome to the era of the opacity of AI. GPT-5 are many GPT-5. In his “system card“Openai stands out how GPT-5 It is a “unified system” that actually consists of several versions. Some more powerful, others less, and others that reason. But unlike what happened so far-you chose if you wanted to use the lighter model or one that would think more-GPT-5 will choose for you. As? On the one hand we have the “external” names of the variants of GPT-5 and on the other the inmates. The “real -time router” will be responsible for deciding which is used at each moment. Source: latent.space A “router” that chooses for us. To know what variant you have to use, GPT-5 uses a “real-time router that quickly decides which model to use based on the type of conversation, complexity, or the need for tools.” As they point out In Latent Space The idea is remarkable, and helps to avoid That name chaos We had so far. Of course: the only way to “force” the type of model to use is to express it clearly in the prompt when using chatgpt. Thus, if we ask him something and ask that “think a lot about this”, we will activate that reasoning model so that the router does not make mistakes by choosing perhaps a less capable model. Opacity. Although OpenAi indicates that he uses these arguments to decide which GPT-5 variant USA, here we face the dichotomy of opacity. That GPT-5 chooses for us is on the one hand good and on the other bad. Simplifies the use of chatbot, no doubt, and that brings it closer to the novel public. But at the same time Advanced users steals control or those who have enough knowledge to know how to decide which version of GPT-5 would like to use. With an expected exception. We can already say goodbye to this old model selector. For better, and for worse. Beware of simplifying. The simplification problem of complex technologies is that it can cause unwanted side effects. For example, that users do not understand the differences between the models. That leads to reducing its ability to make informed decisions about which tool is more appropriate for each specific context. Openai raises something like a “technological infantilization”: do not worry, dear users, that GPT-5 will already do everything for you. Even choose how to work. If you pay, choose. If you are one of those advanced users who know how Chatgpt Pro (200 dollars/month) In order to activate any of the different internal models of GPT-5 Correspondence between the “old models” and the “new models.” Source: OpenAi How are they compared to previous models. The arrival of this new family of models assumes that now each of the above It has its replacement with one of the Variants of GPT-5. Thus, the old GPT-4O would be the new GPT-5 Main, while GPT-4O-mini will be GPT-5-Main-Mini and O3 will be GPT-5-Thinking. And so with the rest: Goodbye, old GPTS. As explained in the version notes Published in OpenAI, the arrival of GPT-5 supposes goodbye to the models that were used so far in Chatgpt. Chatgpt Pro subscribers They can continue to have access To these ancient models, at least for now, but for other users the option is clear: the pre-GPT-5 models are retired, and among them: GPT-4O (will continue to be used for voice mode) GPT-4.1 GPT-4.5 GPT-4.1-mini O4-mini O4-mini-High O3 O3-PRO GPT-5 should explain your decisions. Although the idea of having a unified model is not bad, that lack of control and information about the way of functioning of GPT-5 is worrying. One of the solutions is to introduce that selection of ways (available in Chatgpt Pro), but another is even simpler: Chatgpt would be enough to indicate which version of the model has used at all times so that we know what to stick to … and if we can force that in such questions a more capable (or less) model is used. In Xataka | The AI has so far a nice accessory: with GPT-5, OpenAi wants to place it in the center of all things

A scheme to understand the new Openai in chatgpt

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GPT -5 is here. If you have reached this article, it is probably for one of two reasons: o You are interested in knowing what it contributes The new OpenAI modelor you have encountered an unexpected change in your application of Chatgpt. The model selector, in general, has disappeared, and with it, part of the control that users had. Between what GPT -5 promises and what is now out of reach without paying, the question is served: is it worth subscribing? What has really changed in Chatgpt’s experience? GPT -5 decides on your own how to answer GPT-5 does not work as the previous models. Now chatgpt incorporates a system that Decides automatically How to answer. If it detects that a task is simple, prioritizes speed. If you consider that you need more analysis, it activates its mode of reasoning. Openai describes it as a system that learns from previous patterns and adjusts its behavior based on the context. The result is a more uniform experience, but also more closed. The only exception is the users of the Pro and Team plans, which can continue to manually access the different variants of GPT -5. What do you get according to what you pay The result you get when using GPT -5 in chatgpt depends directly on the plan you have. It is not just a matter of speed or quality of the answers: daily limits changethe available tools and the type of reasoning that the model can apply. And in some cases, even what you see on the screen. OpenAI has designed three access levels for the general public: the free plan, The Plus Plan of 23 euros per month and The Pro Plan of 229 euros per month. Each offers a different experience. Knowing what changes between them is key to understanding why your chatgpt does not behave like that of other users. The following table summarizes what each of the three main levels includes: The free, the plus and the pro. Some differences are subtle – like automatic degradation to a lighter model – and others are much more visible, such as access to advanced tools or GPT -5 Thinking Pro mode. Free Plus pro Base model GPT –5 GPT –5 GPT –5 Allowed messages 10 every 5 hours 80 every 3 hours Unlimited What happens when exceeding the limit? Change to GPT-5-mini Change to GPT-5-mini – GPT -5 Thinking mode (automatic) 1 time a day No restrictions No restrictions GPT -5 Thinking mode (manual) Not available 200 weekly messages No restrictions Thinking Pro Not available Not available Available Image generation Around 3 a day Higher quota Unlimited Advanced voice mode Not available Available Available MODEL SELECTOR MANUAL Not available Only between GPT-5 and GPT-5-Thinking GPT-5 and GPT-5-Thinking. Old models for limited time Monthly price 0 euros 23 euros (includes 3.99 euros of VAT) 229 euros (includes 3.99 euros of VAT) When you use free chatpt you start with GPT -5 in normal mode, but the accountant does not stop: 10 messages every 5 hours. Upon reaching the tenth, the conversation changes to a distilled copy called GPT-5-mini. In addition, the Free Plan only allows a daily message with the way of deep reasoning (GPT -5 Thinking). What really contributes to pay The free plan gives access to GPT -5, but with cuts that appear quickly. Paying solves that initial limit, but also changes the experience significantly. With plus, you can stay in the full model for much longeruse advanced tools and manually force the way of deep reasoning, although with a weekly limit. Pro goes further: it eliminates virtually all restrictions. There is only a “limit” that seeks to avoid abusive use. The most important thing about the Pro Plan is not alone in the number of messages. What it offers is GPT -5 Thinking Pro, a version of the model that uses more computing to think, compare possible answers and reduce errors. This extended reasoning is not available in Free or Plus. The difference is especially noticeable in complex tasks: code, long summaries, reporting reports, technical analysis or complex comparative. For those who use chatgpt as a work tool – and not only for specific consultations – this subscription can be very valuable. Only those who pay more retain total control The new GPT -5 system eliminates the need to choose models … unless you are part of the few who can still do it. Only users of the Pro, Team and Enterprise plans retain access to the complete models selector, which allows manually changing between GPT -5, GPT -5 Thinking, and GPT -5 Thinking Pro. They can also access, for a limited time, some old models for compatibility. As we say, in the rest of the plans – Free and Plus – the experience is totally unified: the system decides for itself how to act, but we can force quick or reasoned responses through the prompt. Images | OpenAI | Omid Armin | Xataka screen capture In Xataka | The AI has so far a nice accessory: with GPT-5, OpenAi wants to place it in the center of all things

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