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Google Gemini 3 Pro: Access to AI now costs like a cup of coffee

Google has finally decided that paying twenty dollars a month for artificial intelligence is entertainment for enthusiasts, not for ordinary people. While…

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Google Gemini 3 Pro: Access to AI now costs like a cup of coffee
Source: TechCrunch. Collage: Hamidun News.
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Google has finally decided that paying twenty dollars a month for artificial intelligence is entertainment for enthusiasts, not for ordinary people. While OpenAI and Anthropic continue to maintain the psychological barrier of two thousand rubles equivalent, the search giant has launched an AI Plus tariff for just eight dollars. This is not simply a seasonal sale, but a full-scale global launch of Gemini 3 Pro for all markets, including the United States. It seems that in Mountain View they decided that the best way to win the arms race is not only computing power, but also subscription accessibility for every student and freelancer.

For a long time, the consumer AI market was in a strange equilibrium. All major players converged on the magical figure of $19.99. This became a kind of industry standard: for this money, users get access to the smartest models, queue priority, and a couple of additional features. But for an ordinary person who needs to create a workout plan or edit a letter, such a sum seems excessive. Google was the first to feel this gap and decided to strike at competitors' most painful point—their wallets. Now, for the price of a couple of cups of coffee, users get functionality that was previously considered premium.

The launch of Gemini 3 Pro within a budget-friendly tariff radically changes the rules of the game. We are used to cheap meaning the use of last year's technologies. Usually, companies give away old and dumb models for free, and charge full price for new ones. Google breaks this logic. Gemini 3 Pro represents a current architecture that seamlessly integrates into all company services, from Google Docs to Gmail. Now users don't need to choose between quality and price. For eight dollars, they get a tool that by many benchmarks doesn't yield to top competitors' solutions, while working faster and more stably.

Why can Google afford this, but OpenAI cannot? The answer lies in hardware and vertical integration. Google is a huge technology giant that designs its own tensor processors (TPU), builds data centers, and owns fiber optic networks around the world. For them, the cost of a single request to the model is significantly cheaper than for, say, Anthropic, which is forced to rent computing power from cloud providers. This is a classic war of attrition: Google can dump prices for years, forcing startups to either burn through investment money endlessly, or gradually lose market share.

This move also speaks to a fundamental shift in priorities within the industry. Previously, AI models were exotic, and people were willing to pay a premium for the feeling of being part of the future. Today, neural networks are becoming a utilitarian service, like electricity, water supply, or cloud storage. Google wants Gemini to be everywhere. Price reduction is a way to bind users to its ecosystem so tightly that switching to ChatGPT would seem not only inconvenient due to habit, but also economically disadvantageous. If you already have email, calendar, and documents in Google, and now also a smart assistant for pennies, there's no point in looking for alternatives elsewhere.

Of course, skeptics question the quality: did the company sacrifice computing power in pursuit of lower prices? Gemini 3 Pro is positioned as an ideally balanced model. It's fast enough for everyday tasks and deep enough for complex data analysis. It's not a heavyweight Ultra version, but for ninety percent of everyday tasks, its capabilities are more than sufficient. Google is clearly targeting the mass market segment, leaving ultra-expensive tools for a narrow circle of professionals. But the line between professional and ordinary AI is blurring with each new update.

For the entire industry, this is a loud alarm bell. If this experiment with affordable subscription proves successful, we'll see a wave of forced price cuts across the entire market. OpenAI has already begun experimenting with lighter models like GPT-4o mini, but full subscription still costs a lot. Perhaps Sam Altman will have to urgently reconsider the financial model to avoid becoming an AI tool exclusively for wealthy corporations. Google has clearly shown that the era of elite AI is coming to an end. The age of accessible intelligence, built into every smartphone, is beginning.

Bottom line: Google has declared a price war, lowering the entry threshold into the world of advanced AI by more than half. Will competitors be able to respond in kind without going bankrupt on GPU rental bills?

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