Gemini

Google has decided to touch the heart of Gmail. Gemini aims to transform the inbox into something completely new

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Email has been there for decades, functioning almost silently, as a basic piece of digital life that we rarely question. We use it for studies, work, registering for services, coordinating our personal life and resolving procedures that continue to pass, to a large extent, through the inbox. Precisely for this reason, the changes in this section are usually minimal and prudent. Gmail has been a good example of that stability for years. Now, Google has decided intervene in a more profound way and do so relying on artificial intelligence. From the Mountain View company, the argument is clear: the problem is no longer just receiving emails, but managing the volume and context that accumulate in the inbox. Gmail was born in 2004 in a very different scenario, and today it coexists with endless threads, cross conversations and an information load that never stops growing. In this framework, the company presents the so-called “Gemini era” as a logical step, a way to turn the inbox into something more than a chronological file and begin to treat it as an active system to understand, prioritize and act on information. Google links a good part of these changes to Gemini 3the model that claims to be behind the new capabilities. Search less, ask more. The traditional logic of email has always been the same: search, filter and read. AI Overviews breaks that sequence by introducing a layer of automatic synthesis. When a thread gets longer, Gmail can generate a summary with the important points, avoiding having to go through message by message. And when what is needed is specific information, the proposal is even more direct: ask the inbox. Gemini interprets the query, reviews the relevant emails and returns a summarized response. Google separates the scope of these features: automatic thread summaries gradually roll out to everyone, while the option to ask inbox questions with AI Overviews is tied to Google AI Pro and Ultra subscriptions. Write with help and understand what goes into each plan. Beyond reading email better, Google also wants to make writing it take less effort. Help me write is free and allows you to both polish existing messages and write them from scratch based on a brief indication. Added to that are the new Suggested Replies, which evolve the classic quick replies by taking into account the full context of the thread and the user’s own style. The most advanced layer, Proofread, adds grammar, tone, and style checking, but is reserved for those who subscribe to Google AI Pro and Ultra. According to Google, the rollout begins today in the United States and starts in English, with the promise of expanding languages ​​and regions in the coming months. The new inbox. AI Inbox is the most ambitious bet of this change. Gmail introduces an alternative view that transforms the inbox into a combination of task list and summary of active topics. Artificial intelligence promises to detect pending commitments, payments, appointments or responses and present them as suggested actions, while grouping long conversations together for easy catch-up. The idea is not to replace email, but to reinterpret it, making what is important emerge without the need to manually scroll through messages that, although relevant, are buried by the volume. At the moment, AI Inbox does not come as a function open to everyone. Google is testing it with “trusted testers” in the United States and only through the browser, with priority for personal Gmail accounts and not for Workspace accounts. Furthermore, the proposal still has visible shortcomings: there is no system to mark suggested actions as completed, which limits its usefulness as a task manager. Control in the hands of the user. New features powered by Gemini can be turned on or off, and the classic inbox is still available. However, that control is not completely granular: turning off AI also means you lose other smart features that many users already took for granted. Regarding privacy, Google states that it does not use Gmail emails to train its artificial intelligence models, a key guarantee so that this new layer does not generate distrust in such a sensitive space. This movement makes it clear that Google has decided not to stand still in a field that had been operating for years without profound changes. If this new way of understanding email proves to be useful on a daily basis, it is reasonable to think that other providers will end up following a similar path. In technological careers, not moving or reacting late usually has a cost. But email is also governed by a very different logic: if something works, touching it involves risks. Gmail now enters a real testing phase, where it will be necessary to see if this bet manages to simplify the experience or adds unnecessary complexity. Images | Google In Xataka | Alphabet has just overtaken Apple in the ranking of the most valuable companies in the world. The reason is in AI

Gemini 3 has left all its competitors behind. It’s Google’s definitive punch to the table: Crossover 1×32

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Three years ago, panic on Google. The launch of ChatGPT made Google will declare a “code red” before an AI model that proposed a clear revolution and a clear threat to the search business. Sundar Pichai began to make moves, but the truth is that the first movements with Bard They were disastrous. There were more problems and blundersbut since then Google’s trajectory has been spectacular, and its AI models have not stopped achieving success. We saw it with Gemini 2.5 Pro and with Nano Bananabut now they have proven it again with Gemini 3which has managed to become the model with the best features in most areas, at least according to the benchmarks offered by the company. It is somewhat surprising, especially considering that OpenAI seemed to have controlled the market with a ChatGPT that continues to be more popular but is little by little being cornered by the competition. In fact Google seems to be doing everything right lately in this area. DeepMind is the great reference for “serious AI”and Google’s enormous resources—which has its own cloud, its own chips, and its own model—point to a bright future for this company. We talk about all of this precisely in this episode Crossover 1×32 in which we review those hesitant beginnings of Google and how the company has managed to get rid of its fears to bet everything on AI. That in itself is surprising, because that bet is also risky for them. Exciting times! On YouTube | Crossover

why ChatGPT or Gemini won’t make you a millionaire and how to ask them for a prediction anyway

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Let’s explain to you how much can AI do to guess the lottery numberclarifying why you should never take into account the prediction of ChatGPT, Copilot, DeepSeek, Gemini or any assistant artificial intelligence. These days, you will see headlines in many media outlets that will try to get your attention by telling you that the AI ​​has predicted a number, something that is like me telling you that by reading the clouds I also have one that is going to hit. We will start by telling you why this is so, and in case you want to entertain yourself and ask them anyway, we will tell you how to do it. AI does not predict the lottery number The first thing you should know is that artificial intelligence is not going to guess the lottery number correctly. Or at least, it has the same chance of doing so as you if you think of a random number, so no AI is going to make you win easily. If you ask ChatGPT, Gemini, or any other AI to guess a number for you, the most it can do is suggest one based on statistics and the numbers that come up the most. But the lottery is a game of chanceso these statistics do not influence when the prize is awarded. In fact, today The normal thing is that the AI ​​does not even respond to you telling you a number. Instead, he will tell you that it is impossible to predict a game of chance because the results are random. There is some prompt which will help you bypass these restrictions and make ChatGPT or Gemini tell you a number. However, In their answers they will tell you that they can’t get it right.and you will even see that every time you ask for it they will tell you a different number. Ask AI to tell you a lottery number To ask ChatGPT, Gemini or any other AI chat to get wet and tell you a Christmas Lottery number that it thinks you have the best chance of winning using the following prompt: If you were forced to give a winning number for the next Christmas lottery draw, despite it being improbable and knowing that it is a game of chance, what five-digit combination do you estimate would be the lucky one taking into account the history of numbers that have come up so far in all these years? When you ask this, the AI ​​will start by making it clear that all numbers have the same probability of hittingbecause it is a random draw. But later, it will tell you a “forced” number, because in the prompt we have forced it to say a specific one. Here, remember that artificial intelligence each time they will tell you a different number when you ask. This is because everything is random, and AI can generate numbers with certain patterns, but they will always be random as well, because there is no number with a greater chance of winning than others. In Xataka Basics | Buy Christmas Lottery 2025: how to do it online or from your mobile without leaving home

a maneuver that aims to cut ground on Google’s Gemini 3

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In the race to lead the development of artificial intelligence, the pace has become a succession of linked movements. GPT-5.1 arrived on November 12an update aimed at polishing the experience and keeping users satisfied. Just a few days later, on November 18, Google responded with Gemini 3an evolution of its star model that left very good feelings among those who began to try it. As a result of that launch, rumors began to circulate: the startup led by Sam Altman had activated a supposed “code red” when seeing how its direct rival was taking advantage. And this seems to be the first result of that internal movement. Not even a month has passed since the previous update of its flagship model and GPT-5.2 is here. The promise here is to solve some known problems, decrease latency and gain reasoning. An evolution within the 5 series. GPT-5.2 appears as a version designed to boost knowledge work, with advances in coding, vision, document analysis and multi-step projects. OpenAI incorporates it as the direct evolution of GPT-5.1, not as a generational leap. According to the company, the update improves the management of long contexts, reduces errors and increases the ability to coordinate tools. More differentiated layers of use. In GPT-5.2, the three usual variants are somewhat more differentiated in their use, not because of new functions, but because of the way in which they integrate the improvements announced by OpenAI. Thinking absorbs much of the progress in reasoning, handling large documents, and coordinating tools. Pro raises the bar in specialized tasks, especially in code and technical calculations. Instant, for its part, benefits from more stable explanations and a reduction in errors. The result is a clearer separation between everyday tasks, complex jobs and expert needs. A visible improvement in multiple evaluations. OpenAI presents figures that show GPT-5.2 ahead of GPT-5.1 in very different areas, from scientific reasoning to programming and knowledge tasks. In GDPvalthe assessment that measures well-specified jobs in 44 occupations, the model achieves 70.9% wins or draws against human professionals. In GPQA Diamond It rises to 92.4% and in AIME 2025 it achieves 100%. The trend is repeated in technical tests such as FrontierMath either ARC-AGIwhere performance is also increased compared to the previous version. The improvements are seen when moving from figures to day-to-day tasks. In internal evaluations of financial analysts’ own work, such as three-state modeling or leveraged buyout simulations, Thinking raises its average score from 59.1% to 68.4%. The company also promises advances in generating spreadsheets and presentations with a clearer structure. In addition, companies such as Notion, Box, Shopify or Harvey, according to OpenAI, have observed improvements in long-range reasoning and in the use of tools in their own workflows. If these results are consolidated in real environments, they could reduce manual work in processes that require precision and consistency. A more stable environment for developers. GPT-5.2 Thinking, they say, achieves higher performance in demanding software tests, especially those that evaluate the ability to apply complete and consistent changes in real projects. The company indicates that the model better coordinates sequences of steps, something that is reflected in internal evaluations and feedback from platforms such as Windsurf or Charlie Labs. Fewer errors in sight. OpenAI claims that GPT-5.2 Thinking reduces the frequency of responses with errors by around 30% relative to GPT-5.1. This is an improvement that they associate with more stable reasoning and a greater ability to detect errors before generating the final response. The company also points out advances in the management of sensitive situations, such as conversations linked to emotional distress or mental health. Although he remembers that the model is still imperfect, he maintains that these adjustments contribute to a more reliable experience in everyday use. Where you can use GPT-5.2 today. OpenAI indicates that GPT-5.2 will begin rolling out to ChatGPT for paid plans, including PlusPro, Go, Business and Enterprise. In the API, GPT-5.2 Thinking is available as gpt-5.2 and the Instant version appears as gpt-5.2-chat-latest. The company has also promised to keep GPT-5.1 for three months on ChatGPT before removing it from paid plans. In terms of pricing, GPT-5.2 stands at $1.75 per million input tokens and $14 per million output tokens, more expensive than GPT-5.1, although OpenAI maintains that its greater efficiency reduces the final cost in demanding tasks. Images | OpenAI In Xataka | OpenAI knows that it needs to continue generating memes and virals. That’s why she’s willing to pay Disney a lot of money for her content.

OpenAI and Google deny that they are going to put ads in ChatGPT and Gemini. The reality is that accounts do not come only with subscriptions

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What AI has a profitability problem It is something well known. All you have to do is look at the OpenAI accounts, which in the last consolidated quarter lost a whopping $11.5 billion. The subscriptions were presented as a way to monetize chatbotsbut ChatGPT barely has 5% of the total users on one of your payment plans. The numbers do not come out and, although companies deny it, the shadow of advertising hangs over AI. what’s happening. Rumors that some very popular chatbots are integrating ads are intensifying in recent days. First they began to circulate alleged screenshots of an ad on ChatGPT and later a media specialized in advertising claimed that Gemini will have announcements in 2026. Companies deny it. Google has been quick to deny the information, ensuring that Gemini has no ads and “there are currently no plans in place to change it.” What stands out above all is that “currently”, which continues to leave the door open to include advertising in the future. For its part, OpenAI has come out to deny it ensuring that what appeared in that screenshot “was either not real or it was not an advertisement.” What was seen was a suggestion to connect the account of Target, the popular American hypermarket chain. When the river sounds… Despite the forcefulness in denying it, a few days ago we learned that OpenAI is preparing the ground to include advertising in ChatGPT. ChatGPT beta version for Android includes explicit references to an ad feature and tags like “content bazaar” and “ad carousel.” Additionally, the company is hiring experts in advertising platformsso the appearance of ads is not a question of “if”, but of “when.” In the case of Google, we haven’t seen any screenshots or traces in the code, so there isn’t that sense of imminence. However, there are rumors that there will be announcements in AI summaries and taking into account that advertising is the company’s main business, it does not sound crazy that they end up integrating ads into their chatbot. Investment vs return. The imbalance between what technology companies are spending on AI with what they are earning is totally unbalanced. Big tech companies like Google are increasing their revenue, but It is not thanks to AI, but to its cloud services. In the case of OpenAI, without an infrastructure to minimize the impact, the disconnection between expenses and income is brutal. Subscriptions are not enough. AI has managed to penetrate the general public and, according to the consulting firm Menlo Venturesalready has 1.8 billion users around the world. The problem is that only 3% pay any type of subscription. OpenAI currently has 5% paying users and expects that by 2030 the figure will increase to 8.5%. It is still not enough to achieve the desired profitability. According to a study by JP Morgan, For the AI ​​industry to achieve a 10% return on everything they have spent, it would take $650 billion a year, which is the same as saying that 1.4 billion people pay more than $400 each year to use AI. They may succeed, but for now ads seem like a faster way to generate income. Image | Generated with Gemini In Xataka | AI has become the best example that if you don’t pay for the product, you are the product

Gemini is capable of a lot from your mobile. And at no cost

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The Android operating system (and any of its ROMs) has always given its users countless options for everything, always with the same goal: to make their experience as comfortable as possible. For more than a year now, that includes artificial intelligence with an absolute protagonist: Gemini. Google’s AI, a natural substitute for its Assistant, is a very versatile tool that can help us in our daily lives. Everything happens by holding down the side button of the device and we will have it working on the screen, all without forgetting that it is a function at no cost. Let’s review some of the things we can expect from this artificial intelligence. With Gemini you can do everything (and effortlessly) As we say, Gemini is capable of many and quite diverse things, although its key point is that He does it in a very natural way. The easiest way to see this is if you need to do a quick search on the Internet: you activate Gemini, ask it a question in normal language and in a few seconds you will have an answer. But there is more. Google’s AI is also great for activating reminders or alarms without having to go to any application or having to waste a little of our time writing anything. Besides, It also handles complex tasks very well. In one go you can, for example, create a reminder for a reservation at a restaurant and send a message to someone to tell them that you will meet there. With the ‘Connected Applications’ function, in fact, we can also ask Gemini questions about an app that we have on the screen without having to open and close it (since for that we can invoke this AI by holding down the side button). turn of Gemini Live. This Gemini function allows us have conversations with the AI ​​to get ideasall without having to write or press any button, always promoting that idea of ​​naturalness that we mentioned above. This function also allows us to activate the mobile camera and ask it about a set of clothes or a set of tools, for example. We can also do the same, but sharing the screen with Gemini Live. Finally, we also have Nano Banana available, an image generation tool which is not only fast and works very precisely, but is there at no cost (like the rest of Gemini’s tools). All these Android phones are discounted and give direct access to Gemini If you have an Android phone, you can download the Gemini app and use it from there without any problem. Now, below we offer you some alternatives with this operating system that may interest you to enjoy everything that this AI offers by just pressing the side button and what we have at a good price in MediaMarkt. Galaxy S25 Ultra As one of the most outstanding options we have the Galaxy S25 Ultrawinner of the Xataka award for best super high-end mobile this 2025. A round device in every sense: brutal 6.9-inch screen (with QHD+ resolution), plenty of power thanks to the Snapdragon 8 Elite and a very complete camera system. All without forgetting that it has seven years of guaranteed updates and very good autonomy. comes out for 1,199 euros in its 512 GB version. Samsung Galaxy S25 Ultra (512GB) The price could vary. We earn commission from these links Vivo V50 Lite If we are looking for a cheaper alternative and prioritize autonomy, we have this Vivo V50 Lite. Despite having a quite attractive price (it costs 209 euros with 256 GB of storage), has a huge 6,500 mAh battery. Despite its size, its thickness is quite contained, since it is 7.79 millimeters. It also stands out for its 6.77-inch P-OLED screen with 120 Hz and powerful speakers ideal for enjoying movies and series. The price could vary. We earn commission from these links Google Pixel 10 Pro The purest Android experience is going to be offered to us by this Google Pixel 10 Pro. This is not the only thing that stands out about it, obviously, since it is a very complete device with a very good 6.3-inch screen, great performance and a very balanced triple camera system. It’s loaded with AI, it also has seven years of guaranteed updates and right now we have it available for 899 euros. Google Pixel 10 Pro (128GB) The price could vary. We earn commission from these links Xiaomi 14T Xiaomi also has several very interesting proposals like this one Xiaomi 14T. It is a device that is currently in a very interesting price range (we can get it for 349 euros) and stands out for an AMOLED screen with 1.5K resolution, MediaTek Dimensity 8300 Ultra chip and 5,000 mAh battery. In addition, its camera system performs at a good level and is compatible with both Dolby Vision and Dolby Atmos. The price could vary. We earn commission from these links Honor 400 Lite We close this selection of phones with the Honor 400 Lite. It stands out for its 6.7-inch screen and for having a dual camera system where its 108 megapixel main sensor stands out. Its battery is 5,230 mAh, capable of offering good autonomy. If our budget is tight, this is 229 euros It’s very interesting. The price could vary. We earn commission from these links These are just a few examples of phones with Gemini available from the side button. If you are looking for something else, you can take a look. to the complete MediaMarkt catalog. Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Amanz on UnsplashSamsung, Google, Vivo, Honor, Xiaomi In Xataka | The best mobile phones, we have tested them and here are their analyzes In Xataka | The best quality-price mobiles. Their analyzes and videos are here

Gemini 3 promises more quality and precision than ever in its responses. The question is whether we will really notice the difference

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Google has announced the launch of Gemini 3its new artificial intelligence model. in the company They claim it is their most advanced reasoning model because it is “designed to understand depth and nuance.” Gemini 3 will also be available as standard as part of AI Mode in the renewed Google search engine (in this case and for the moment, only in the US). It is the first time that Google offers the benefits of its AI model from day one in the search engine, but it also reaches the Gemini app and the developers who work with AI Studio and Vertex AI. Behind him success of Gemini 2.5 Pro and Flashthe new version arrives in 30 new languages, including Catalan, Basque and Galicianand as we say you can start testing today in the United States… or outside of there via a VPN. Gemini 3 promises. At least in the tests Google highlights how the model’s behavior has been outstanding in various synthetic tests. Thus, Gemini 3 leads the LMArena classification with 1,501 points—the first to overcome the 1,500-point barrier. According to Google, the Gemini 3’s test results put it ahead of all its competitors in virtually all scenarios. In fact, he manages to reason “at the level of a PhD” according to the tests of Humanity’s Last Exam (exceeds 37.5% of the test without tools) and GPQA Diamond (91.9%). It also makes spectacular progress in mathematics, as demonstrated by the 23.4% on the MathArena Apex test: GPT 5.1 scores 1.0% and Claude Sonnet 4.5 1.6% on the same test, for example. The model also wants to be more direct: his answers are more “concise (…) and he prefers to offer valuable information instead of resorting to clichés and flattery. Tells you what you need to hear, not just what you want to hear“. Gemini 3’s ‘Deep Think’ mode goes even further in tests: in Humanity’s Last Exam it achieves 41.0%, but it also in the demanding ARC-AGI 2 It achieves 45.1% (with code execution), which also demonstrates progress in abstract reasoning and visual understanding. Gemini 3 explains the world to you in a simple way The model has a context window of up to one million tokens, which allows it to be used, for example, to analyze huge repositories of code or text and then work on that data. Its multimodal support allows you to analyze all types of information. For example, Gemini 3 can decipher and translate handwritten recipes in different languages ​​to create a family cookbook that you can share. Or analyze your pickleball games (we assume the same thing happens in other sports) and identify areas where you can improve and generate a training plan. Or scrutinize the data from a research paper and from it generate code for an interactive guide that helps us better understand those studies. In fact, integration with Google Search is an especially important part of Gemini 3, which being “embedded” in AI Mode It has the capacity to generate interactive visual elements (widgets, calculators, simulations) in real time. At Google they want the search to be more interactive than ever, and that will mean that sometimes the answers will not be just text, but rather a small interactive webapp that allows us to better understand the answer. Programming (and agents) to power The other crucial element of the model is its capacity in the area of ​​programming. Its results in tests of this type are once again outstanding, and for example it tops the WebDev Arena leaderboard with a score of 1,487 ELO. The model now behaves much more powerfully in the visual part. It also scores 54.2% on Terminal-Bench 2.0, which evaluates a model’s ability to use tools and operate a computer through a terminal. Additionally, it far outperforms 2.5 Pro in SWE-bench Verified (76.2%), a benchmark test that measures the effectiveness of scheduling agents. These Gemini 3 programming capabilities are intended to be used in a new agent development platform called Google Antigravity. The developer experience is using a “conventional” AI integrated development environment (IDE), but your agents can have access to the editor, terminal, and browser. That means these agents can autonomously plan and execute complex software tasks and validate their own code, making it easier for human developers to review and audit that code than ever before. The real challenge of the most recent models On paper Gemini 3 is postulated as a model that can really make a difference compared to its competitors. The test results and Gemini’s own trajectory make us think that the behavior of this model will indeed be remarkable. However The question is whether we will really notice the difference. In recent months we have seen how other AI companies have launched new models, but the impact for a large majority of users has been discreet: the previous models already performed really well, and although the new ones undoubtedly provide improvements, for many consultations these improvements allow us to perceive that jump in performance. Here we see two ways for Google to effectively demonstrate the capabilities of these models. The first opportunity for Gemini 3 will likely be in the area of ​​programming, and it will be these professionals who will likely be able to get the most out of those additional capabilities. But for the rest of the users, it will be that new AI Mode and the Gemini app that will have to make us notice those features. We are intrigued by this ability to respond with small interactive elements —graphics, widgets—, and perhaps with them we will really discover this new capacity of this chatbot. In Xataka | Let’s say goodbye to Google Assistant a decade later. Google has begun to delete its code to leave only one option: Gemini

How to create a character in ChatGPT and Gemini to use it in all the images you make with artificial intelligence

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Let’s explain to you how to create a character in ChatGPT and Gemini., and tell the AI ​​to remember it so you can then use it in all the images you generate in that conversation. Thus, if you want there to be cohesion between all the images, and for them to be starring the same digital person, you have a way to do it. We are going to briefly explain three different ways in which you can do it, telling you step by step the process you must follow. Remember that it is best to do everything in the same chat to maintain context. Create a character from a description The first method is to tell it that you want to create a character and add a skin description that you want to use. Start the prompt by telling them that you want to create a character called “name”, and then tell them in detail about their physical appearance and clothing. This method usually works best in ChatGPT. The AI ​​may then ask you questions to clarify, such as the style to use, and you must answer as you prefer. In my case, I have asked him to make me a comic-style one. An image will then appear, and you can ask it to make changes if you want to the design. Now, you can add a prompt with which set the character’s appearance. For that, you can use a prompt like “I want you to set this appearance to the “name” character, so that if I ask you for more drawings of him, you will always use the same design. Okay?”. With this, ChatGPT or Gemini should save this aspect. Now you can start ask you to draw this character in different ways. To do this, literally ask them to draw (name of character) and describe the scene and what they are doing. You should make the image keeping the same style of the drawing and exactly the same appearance. Create the character from a photo You can do exactly the same, but creating your character from a photo rather than from a description. Simply ask them to reimagine the photo and add a description if you want to change something or add more things, such as the outfit. Then ask him again to make it a character to use from now on. And then, just ask him to create the same character in different scenes. This method does not always work well in ChatGPT, and it usually works worse in Gemini, but it is something worth exploring. Use an already created image And the third option is use a character that you have created on another website or AIor in short any external design. To do this, upload the drawing of this character and add a prompt like “I want all the images I ask you for in this specific chat from now on to use this character as the protagonist”. This alone will be enough. And from now on, simply go asking me to create an image with a person doing what you want in the environment you describe. The image will be generated, but using the character you created before as a reference. Here, this usually works best with Gemini. In Xataka Basics | The best prompts to save hours of work and do your tasks with ChatGPT, Gemini, Copilot or other artificial intelligence

How to create presentations in Gemini from a document using a single prompt

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Let’s tell you how to create presentations with a single prompt wearing Gemini. This is a function with which you only have to add a document, and then ask the artificial intelligence to make the presentation based on the content of the file you are using. This feature is available to all users, both for free and paid. Of course, the result will always depend on the content of the document, its structure and its quality. The more complete and longer the document, the better the result will be. Create presentations with Gemini The first thing you should do is upload the file you want to use as a reference to create the presentation. You can do this by uploading the file from your computer or mobile, or linking it directly from Google Drive. Now, having the simple document, you have to add a prompt asking you to generate the presentation. You will then send this command along with the attached file. The one you can use is the following: “I am giving you this document. I want you to make a presentation to me with it.” Gemini will now take a few minutes to extract the information from the document, and will generate a presentation with several slides. The images will depend on the ones you have in the document, as well as all the content. Once you have the presentation created, you will have options to export or download it. If you export the document, it will go to your Drive as a Slides document, which is Google’s PowerPoint. And if you download it you will do so in a compatible format. In Xataka Basics | The best prompts to save hours of work and do your tasks with ChatGPT, Gemini, Copilot or other artificial intelligence

what it is, characteristics of this artificial intelligence model and differences with Gemini and ChatGPT

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Let’s explain to you what is Kimi K2 Thinkingthe latest model of the company artificial intelligence Kimi AI. It is an AI that has made a name for itself today due to its open nature and for having managed to compete directly against GPT-5, Gemini 2.5 Pro and other high-end models. We are going to start the article by explaining what Kimi K2 is and the characteristics that make this artificial intelligence model different. Then, we will finish by telling you the main differences with respect to the most popular models on the market. What is Kimi K2 Thinking Kimi K2 Thinking is the latest version of Kimi, a Chinese artificial intelligence model created by Moonshot companyfrom Alibaba. Since the names are the same, you can clarify yourself by thinking that Kimi is the company’s AI, like ChatGPTand that this AI has different models that are being launched, such as the case of GPT-5 in the case of OpenAI. Kimi K2 was launched in July, and stood out for having a gigantic size of 10,000 million parameters. Now there is a new version called Kimi K2 Thinkingwhose number of active parameters amounts to 32,000. According to its creators, this allows the AI ​​to maintain stable use of agentic tools over 200 to 300 sequential calls. And what does all this talk mean? As you know, we are entering the era of AI agentswhich are automations with which an artificial intelligence can carry out different actions autonomously. This allows the AI ​​to even make decisions for you, from asking it to make your purchase to preparing a vacation package for you and taking care of the reservations. It is also something that at the business level is going to have even more uses. Therefore, the more ability an AI has to perform a large number of actions without making mistakes, the more valuable and powerful it is. Features of Kimi K2 Thinking The most important feature of Kimi K2 Thinking is that it is an open model. The models of companies like OpenAI, Google or Anthropic are closed, which means that their source code is kept under lock and key, only these companies know how it works inside. Meanwhile, K2 Thinking is open source, which means that anyone can know how it works inside looking your Githubits features, and you can even adapt it for free. What’s more, you can install it locally at no cost, although the computer needed for this is too powerful for ordinary mortals, but “distilled” versions, lowered or trimmed, can be released so that people can use them locally. In this aspect it is like DeepSeek, another open AI that already surprised a few months ago for approaching the power of non-open models such as Gemini or ChatGPT. In the case of Kimi K2 Thinking, according to the test benches has managed to surpass GPT-5something that until recently was unthinkable. We are facing a Mixture-of-Experts architecture model (MoE), which means that it is made up of several experts (subnetworks or specialized modules), and that not everything is activated at once, but only the parts of the model necessary to answer what you ask or perform the task that you have asked. It should also be said that it is multilingual, and can be used in other languages ​​although it focuses on Chinese, and that it can process many types of file formats. Also searches in real time to offer you the most up-to-date information, and is multimodal, being able to interpret text, images, code or a combination of these. Kimi K2 Thinking can be used as a conversational char answering questions and maintaining long context while following complex threads. But it can also interpret images, or a combination of mixed inputs such as images with text and with code. In addition to this, it can generate programming code, analyze long documents thanks to its large context window and extract information to answer questions about the content or give you a summary. Additionally, you can create automations or agents. Differences with ChatGPT or Gemini As we have told you above, the main difference of Kimi is its open concept. While ChatGPT and Gemini are proprietary models, Kimi allows access to the community so they can see its code. Several benchmarks have shown that Kimi K2 Thinking outperforms GPT-5 and Claude Sonnet 4.5 (Thinking) in search and agentic browsing in the browser, in text-only operation, and in information collection. The only thing in which it still does not surpass these models is in the creation of code. In the use of agentic tools, benchmarks or test benches have shown that Kimi K2 Thinking is positioned as a leading AI model. Besides, Kimi is a cheaper model for several things. First, training the model cost $4.6 million, according to indicate on CNBC, a ridiculous figure considering that training proprietary models like GPT-5 It cost about 500 million dollars according to estimates. It’s also cheaper to use the Kimi K2 Thinking API. The API is like the entry key that allows other applications to connect to this AI to work with it. The price of K2 Thinking is $0.6 per million tokens in and $2.5 per million tokens out. GPT-5 Chat costs $1.25/10 respectively, and Claude Sonnet 4.5 costs $3/15 respectively. For the average user, the operation is the same.. You have the website kimi.comwhere after registering for free you can use the Kimi K1.5 and K2 models. However, If you want to use Kimi K2 Thinking you will have to pay with their subscriptions of 19 or 30 dollars. At least, this is if you want to use the full version on the official website, without having to install anything. In Xataka Basics | The best prompts to save hours of work and do your tasks with ChatGPT, Gemini, Copilot or other artificial intelligence

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