Where are AI chats heading in 2025?

In 2025, artificial intelligence is already our everyday companion - from intelligent assistants in smartphones to systems that recommend products to us in online stores. Companies are massively implementing advanced language models (LLM, i.e. Large Language Models) because their instant responses can effectively replace long telephone conversations with the traditional customer service department.

But what exactly does this mean for you and how can you benefit from it?

1. Why are AI chats so important today?

Just three years ago, talking to a machine was associated with clunky hotline bots. Today, modern AI chats, based on powerful language models (LLM), can work wonders:

• write a letter, an essay, or even a poem,
• summarize a long report in a few minutes,
• explain the solution to a math task step by step,
• generate realistic graphics or a short video based on the description,
• help write a computer program from A to Z.

Who will benefit from such opportunities in practice? Students can get a presentation plan with one click, the owner of a small cafe can generate an engaging Facebook post, and a freelancer can prepare a commercial offer in a few minutes without browsing through guides. In other words - even if you're not a "technical" person, AI chats can relieve you of boring or time-consuming tasks and allow you to focus on the creative part of your work.

In short: are universal assistants. Their "fuel" is the text they process. For more advanced, commercial use, companies can pay by the amount of text processed. However, for an ordinary user, many services (e.g. free versions of ChatGPT, Gemini or Claude) offer free access with certain limits that are often renewed, e.g. daily.

2. Key concepts – what is worth knowing to better understand AI?

Before we dive into the details, it's worth learning a few basic terms that will help you better understand how AI chats work and are different:

Deadline	In practice it means…
AI model	The "brain" or "engine" of the chat. It is an advanced computer program that has been trained on huge amounts of text (and sometimes images and other data) so that it can understand language and generate responses.
Token	Imagine that the text is like a necklace of beads. Each bead (or small group of beads) is one token. AI models “read” and “write” with such tokens. Therefore, sometimes a long word has several tokens and a short word has one token. This is the basic unit of text for the model.
Conversation Memory (context window)	That's how chat short-term memory during one conversation. The "larger" it is (technically measured in tokens), the more information from your previous discussion or from a long document that you give it to read, the chat is able to "remember" and take into account when answering subsequent questions. Thanks to the large memory, the chat will not "forget" what you talked about at the beginning of a long conversation conversation.
Multimodality	The model's ability to understand and generate different types of information, not only text, but also images, sound and video. For example, you can send a photo and the chat will describe it, or ask for an image to be generated based on text.

3. The Big Four of 2025 - comparison of top models

There are four major AI chat companies that stand out in the 2025 market. The table below will help you understand how they differ. Pay attention to “Conversation Memory” (the larger it is, the longer and more complex tasks it can process) and “Multimodality”.

Model	Conversation Memory (ability to process long texts)	Multimodality (Understands/Generates)	If generates pictures?	Where can you find it?
GPT‑4.1 (OpenAI)	Very large (e.g. whole book)	text, image, audio/text, image	Yes (DALL·E 3 / GPT‑image‑1)	ChatGPT, API
Grok‑3 (xAI)	Medium (e.g. long article)	text, image (RT vision) / text	Yes (Aurora ImageGen)	X application, iOS, web
Claude 3.7 Sonnet (Anthropic)	Large (e.g. extensive report)	text, image/text	NO (only describes images)	claude.ai, Bedrock, Vertex AI
Gemini 2.5 Pro  (Google)	Very large (e.g. whole book)	full (text, image, audio, video)	Yes (e.g. Imagen 3 or later)	Gemini web/app, Workspace, Vertex AI

Why are “Conversation Memory” and “Multimodality” important?

Large conversation memory allows you to paste entire books, annual reports or full meeting transcripts into the chat and receive accurate summaries without losing the thread. Multimodality, on the other hand, opens the door to tasks that go beyond text - from analyzing a photo of an invoice, through diagnosing an error in a screenshot of the code, to generating illustrations for your ideas.

4. Ordinary tasks – which chat should I choose in practice?

Not everyone needs the most advanced features. Below is a hint about which model will work best in typical situations:

Need	Top Picks (May 2025 examples)	Why?
Writing or correcting an email	Free versions (e.g. ChatGPT) or free Gemini	Natural language, good Polish punctuation, ease of formulating content.
Summary of long PDF	Claude 3.7 (e.g. via a free web interface with limits)	The large “Conversation Memory” + shows the reasoning steps for easy verification.
Instant news from social media	Grok‑3 (requires paid X Premium+ subscription)	Direct access to the X platform (formerly Twitter), perfect for following trends in real time.
Live translations (text ↔ audio)	Gemini (e.g. Flash‑Lite version) (free in the Gemini app)	Low latency; Native audio support.
Graphics for presentations	GPT‑4.1 with DALL·E 3 (in paid ChatGPT Plus) - if quality counts Gemini (free, with image generation) - if cost is a concern	GPT offers photorealism; free Gemini gives good results at no cost.
Programming assistance	GPT‑4.1 (paid) or Claude 3.7 (free with limits), be Gemini 2.5 Pro (Preview) (available as free tests)	GPT and Gemini perform better in tests; Claude makes debugging easier. The free versions can help with the simpler ones too tasks.
High-traffic corporate chatbot	Gemini model API (e.g. Flash‑Lite) (paid, but cost-optimized)	Low processing price, excellent scalability and multi-user speed.

What does this mean?

For everyday tasks, such as writing e-mails or quick questions, free versions of popular chats (e.g. ChatGPT, Gemini) are usually sufficient. If you need advanced functions, such as analysis of very long documents (Claude) or top quality graphics (paid GPT), it is worth considering specific, often paid solutions. For companies looking to integrate AI, models like API Gemini Flash-Lite offer good performance at low cost.

5. How much does it cost? Free vs Paid (May 2025)

Using AI chats doesn't always have to cost money. There are many great free options, although they have some limitations compared to paid subscriptions.

5.1. Free AI chats – what do they offer and what are their limitations?

Many companies provide basic versions of their AI models for free. This is a great way to get started and explore the possibilities of this technology.

Examples of popular free chats (May 2025):

• ChatGPT (free version): Typically based on a slightly older or less powerful model than the paid version, but still very useful.
• Gemini (free version): Available via website and mobile app, it offers text and often basic image generation.
• Claude.ai (free version): Allows you to use the advanced Claude model with certain daily usage limits.

Common limitations of free versions:

• Older or less advanced AI model: Answers may be less precise or creative than paid counterparts.
• Usage limits: The most common limitation. This may be a daily or hourly limit on the number of queries you can ask or the amount of text (tokens) processed. These limits they usually renew automatically after a specified period of time (e.g. every 24 hours).
• Minor “Conversation Memory”: Free models may "forget" more quickly what was mentioned earlier in the long conversation.
• Slower responses: During peak hours, free users may experience longer response times.
• Limited additional features: For example, no ability to analyze very large files, fewer image generation options, no access to the latest experimental features.
• Ads or suggestions to upgrade to a paid plan.

5.2. Paid consumer subscriptions – when is it worth it?

If you need more power, advanced features, or are simply a heavy AI user, paid plans may be a good option.

Plan (Examples)	Price / month (approximate)	Main benefits compared to free versions
ChatGPT Plus	$20	Access to the latest GPT model (e.g. GPT-4.1), larger limits, advanced features (file analysis, DALL·E image generation).
X Premium+	$40	Access to the Grok-3 model without query limits, no advertising on the X platform.
Gemini Advanced	$19.99	Access to the most powerful Gemini models, larger limits, integration with Google services.

When to choose the free version and when to choose the paid version?

* The free version is perfect if: You use AI chat occasionally, for simple tasks, want to learn the basics, or your needs are within your daily limits.

*Consider a paid subscription if:You work with AI every day, you need access to the latest and most powerful models, you care about speed, larger "Conversation Memory", advanced functions (e.g. analysis of large files, generating high-quality graphics) or the free limits are simply insufficient for you.

5.3. API pricing (for developers and businesses)

The prices below are for API and are mainly relevant for companies and developers integrating AI with their systems. The average user uses ready-made applications or websites (such as ChatGPT, Gemini) and chooses between the free version or a paid subscription.

Model (API Examples)	Entry (USD / 1 million tokens)	Output (USD / 1 million tokens)
GPT‑4.1 API	$2.00	$8.00
GPT‑4.1 mini API	$0.40	$1.60
Claude 3.7 API	$3.00	$15.00
Gemini Models API (e.g. Flash)	$0.15 (for Flash)	$0.60 (for Flash)
Gemini model API (e.g. Flash‑Lite)	$0.075 (for Flash-Lite)	$0.30 (for Flash-Lite)

6. Security and privacy – what to watch out for?

Using AI chats comes with some security issues:

• Cloud data: The information you enter is processed on the company's servers.
  Never provide sensitive data (card numbers, PESEL, passwords, company secrets).
• Content filters: The models have filters (GPT/Gemini – restrictive, Grok – liberal, Claude – very strict).
• Call history: Check your privacy settings. Most services allow you to disable or delete your history. Please note that free models may anonymously use your queries to improve the technology.
• Beware of disinformation (“hallucinations”): AI may generate false information. Always critically evaluate answers and verify important facts.

7. Frequently asked questions (FAQ)

Is a token the same as a word?

Not really. A token is the basic unit of text for an AI model, usually a few characters or a fragment of a word. For example, the Polish word "niezapominajka" can be divided into tokens such as "nie", "za", "po", "mi", "naj", "ka". Shorter, common words (e.g. "and", "or", "he") can constitute a single token. The tokenization system allows models to efficiently process text across languages.

Why do AI service providers charge fees in "millions of tokens" (API) and not, for example, the number of pages or characters?

Tokens are a more universal and technical metric that better reflects the actual computational load for an AI model than the number of words or characters, which can vary in length and complexity depending on the language. A unified token-based system makes it easier to compare costs between different models and providers.

Will one AI chat be enough for me to do everything?

For simple, everyday tasks (e.g. writing e-mails, quick questions), free versions of popular chat rooms are often sufficient. However, when you need specialized functions - e.g. generating very high-quality graphics (where paid models integrated with image generators like DALL·E 3 in GPT-4.1 may have an advantage), analyzing very large and complicated PDF documents (where models with large "Conversation Memory" like Claude 3.7 shine), or access to real-time data (like Grok-3 for the X platform) - it is better to choose a specialized tool or a paid plan offering these specific opportunities.

What is the difference between individual versions of models from the same supplier, e.g. Claude 3 Sonnet from Opus, or different variants of Gemini?

Suppliers often offer a family of models optimized for different needs:

• “Flagship” models (e.g. Claude 3 Opus, full GPT versions, top Gemini versions such as potential “Pro” or “Ultra”): Usually the most powerful, offering the highest quality of responses, the largest "Conversation Memory" and the widest range of possibilities, but also the most expensive to use (especially via API) and often available as part of the highest subscription plans.
• “Mid-range” models (e.g. Claude 3 Sonnet, GPT-3.5 Turbo, Gemini standard/Flash version): They represent a compromise between performance and cost. They are faster and cheaper than flagship models, yet much more powerful than the simplest versions. A good choice for most advanced tasks.
• “Lite” / “Mini” / “Flash” models: The lightest and cheapest, optimized for speed and low operating costs. Perfect for tasks that require lightning-fast responses at scale (e.g. simple chatbots, text classification), but may be less powerful and generate less complex responses.

Are free versions of AI chats "lame" or dangerous?

The free versions are not “poor” but rather “limited” compared to their paid counterparts. They usually offer a slightly older AI model, have usage limits (e.g. daily number of queries that are renewed), smaller "Conversation Memory" or slower responses. However, the quality of a single response can be very solid. As for security - the risk is similar to paid versions when it comes to data privacy (do not paste sensitive information). The main "danger" is the potential generation of false information (hallucinations), which applies to all models, although newer and more advanced (usually paid) models try to minimize it.

How can I protect my privacy when using AI chats since they run in the cloud?

1. Do not provide sensitive data: This is the absolute basis. Avoid entering PESEL numbers, payment card details, passwords, confidential company information, health details or very personal data.
2. Check your privacy settings: Many services allow you to manage your conversation history, including turning it off or regularly deleting it. Some paid plans offer a guarantee that your data will not be used to train models.
3. Use incognito/private mode in your browser: This may help limit cookie tracking, although it does not affect what happens to the data on the AI ​​server side.
4. Consider business solutions: If you use AI in a business context, look for solutions that offer special security features, data processing agreements (DPAs), or the ability to host models on-premise for maximum control.

What to do when the AI ​​model "hallucinates", i.e. provides false or senseless information?

Hallucinations are still a challenge for AI models. Here's what you can do:

1. Ask for sources: Ask the model where it gets its information from. Sometimes he can provide links (although these may also be made up!).
2. Rephrase the question (prompt): Try asking the question differently, more precisely, adding more context or asking for a step-by-step answer.
3. Decrease the “temperature” of the model (if you have this option in the API): The lower temperature prompts the model to respond more predictably and less “creative” (and therefore potentially less hallucinatory).
4. Verify information: Most importantly – always check key facts with other, independent and credible sources (other AI models, search engines, encyclopedias, scientific publications). Don't take AI's answers as the final truth, especially on important issues.
5. Break complex tasks into smaller steps: Instead of asking for the entire report to be written at once, ask first for a plan, then to expand on individual points. This gives you more control.

What is “prompt engineering” and why is it important?

“Prompt engineering” is the art and science of creating effective commands (prompts) for AI models to obtain desired results. The AI ​​model generates a response based on your query, so the quality and precision of that query is crucial. A good prompt should be:

• Clear and specific: Avoid ambiguity.
• Containing context: Provide the model with the necessary background information.
• Specifying the output format: If you want a list, table, code – say so.
• Indicating desired tone/style: Formal, informal, playful, etc.
• Iterative: You often need to experiment and fine-tune your prompts to achieve the best results.

The better you master "prompt engineering", the more useful and precise the answers you will get from AI.

Is the data I feed into the AI ​​chat used to train models?

It depends on the provider and the specific service/plan:

• Free public versions: Often yes. Providers typically reserve the right to use (after anonymization and aggregation) data from free interactions to improve their models. Your individual conversations are not directly attributed to you in the training process, but the input can become part of a huge training data set.
• Paid consumer subscriptions: Policies vary. Some providers (e.g. OpenAI for ChatGPT Plus) do not use data from paid plans for training by default unless the user explicitly allows it. It's always worth checking the terms and conditions and privacy settings.
• API services for companies: Typically, data sent through the API is not used to train public models unless there is a separate agreement or opt-in option. Suppliers understand the need for confidentiality of business data.

Are there any regulations regarding AI that I should be aware of as a user?

Global AI regulations are still in development, but the first comprehensive pieces of legislation are emerging, such as AI Act in the European Union. For the average user, the most important aspects are:

• Clarity: You should be informed when you are interacting with an AI system, not a human.
• Copyright: The issue of ownership of AI-generated content is complex and varies by jurisdiction. Generally, works created solely by AI may not be subject to copyright protection to the same extent as human works.
• Personal data protection: Existing regulations (such as GDPR in the EU) apply to personal data processed by AI systems.
• Liability for AI errors: Who is responsible when AI makes a mistake or causes harm? This is still a subject of legal discussion.

It is worth following developments as the law tries to keep up with technological progress.

End: The AI ​​Era – Explore, Learn, Create

2025 confirms that artificial intelligence, and especially its generative models, is not a passing trend, but a technological milestone that redefines the way we work, learn and create. These tools offer unprecedented possibilities: from the automation of monotonous tasks, through support in creative searches, to the rapid analysis of complex data.

However, like any powerful tool, AI requires conscious and responsible use. Understanding its potential, but also its inherent limitations - such as the risk of disinformation or privacy issues - is becoming a key competence. The ability to precisely formulate queries and critically evaluate answers are the new pillars of digital.

The future is not about replacing human intelligence with artificial intelligence, but about their synergy. It is us, as users and creators, who set the direction for this evolution. We encourage you to actively explore available tools, continuous learning and – most importantly – critical thinking. The world of AI is open to you; enter it consciously and use its potential to achieve your own goals. The era of intelligent human-machine collaboration has just begun.