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Neural Network: How to Use It for Free in Russia — A Beginner's Guide

We explain how to use a neural network for free in Russia: choose a service for text, images, or video, register, compose a prompt, and keep track of limits.

Affiliate link: your price stays the same and the project earns a commission.

How to use a neural network for free: start with one task and choose an AI chat, text, image, or video generator with free access. Most services work online through a browser or app, but the free plan almost always limits the number of requests, models, generation speed, or work with files. Check important answers, especially if they concern money, law, health, or personal data.

If your task requires a paid model—for example, GPT-5.6 Terra—it is cheaper to arrange access through the partner service Clodex rather than directly from the vendor. The price difference is shown below.

Цены для gpt-5.6-terra (OpenAI)
Price typeOfficial vendor priceThrough Clodex
Input tokens2 $ / 1 million tokens0,07 $ / 1 million tokens
Output tokens12 $ / 1 million tokens0,56 $ / 1 million tokens
DifferenceInput tokens — в 28,6 times cheaper; Output tokens — в 21,4 times cheaper

Partner price source: Clodex. Price check date: 2026-08-18.

SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.

The essentials

  • A free neural network usually works through a web version or mobile app.
  • A single service rarely creates text, images, and video and analyzes documents equally well.
  • It is best to start with a small, specific task: an article outline, editing a draft, or a list of ideas.
  • Registration often unlocks chat history, saved work, and file uploads.
  • A free plan may include limits on requests, generations, response speed, and model selection.
  • Facts, dates, links, calculations, and legal conclusions generated by neural networks require verification against primary sources.
  • Confidential data should not be entered into a public chat without assessing the rules for processing information.

What Is a Neural Network and How Does It Work in Simple Terms

A neural network is a program trained to identify patterns in large datasets. A generative artificial intelligence model uses these patterns to create new text, code, images, audio, or video in response to a user's request.

An AI chat such as ChatGPT and similar tools receives a text prompt and generates a response based on the available model, the conversation context, and the user's instructions. A chatbot does not verify reality the way a person does: it may confidently name a nonexistent source, confuse a date, distort a quotation, or offer an incorrect conclusion.

Generation quality starts with defining the task. The request “write a good text” provides little guidance because it contains no topic, audience, format, or requirements. The more precisely you describe the input data and expected result, the less time you will spend making corrections.

A practical rule. A neural network helps prepare a draft, structure, or possible solutions. A person bears final responsibility for published text, calculations, advertising, or documents.

How to Use a Neural Network for Free: Step-by-Step Instructions

Free use requires no complex preparation. First determine the desired result, then choose the type of tool, review the access rules, and formulate a prompt. This sequence helps prevent a situation where you register with several services but get a suitable result from none of them.

Define the task

Start with one action whose result can be checked in the final material. A neural network for text creation is suitable for an article outline, a draft email, shortening a long piece of material, explaining a term, or generating ideas. An image generator solves a different task: it creates a visual based on a description of the subject, composition, and style.

  1. Formulate the goal. For example, prepare a publication outline, edit text, create an illustration, or assemble a short video script.
  2. Name the audience. Specify who the result is intended for: clients, students, colleagues, or blog readers.
  3. Set the format. Ask for a table, list, post, email, script, horizontal image, or text of a specified length.
  4. Set limitations. Prohibit unverified figures, complex jargon, logos, mentions of competitors, or unnecessary details.

What happens if you write only “make it good”? The model will choose the criteria itself, and you will get a generic answer that will require extensive reworking.

Choose the type of service

Task Suitable type of tool What to check before starting
Text, ideas, answers to questions AI chat or text generator Russian language, chat history, limits
Image Image generator Number of generations, watermark, rights to the result
Video Video generator or AI editor Video length, export, available features
Working with files Document tool File formats, data processing terms, privacy
Translation and editing AI language service Preservation of meaning, text protection, quality of Russian language

Do not choose a tool based on advertising or a flashy name. For SEO, marketing, and editorial work, it is more useful to assess whether the service can follow a format, work with the Russian language, and preserve context in a conversation. The SEO Mind42 blog has materials about AI tools for promotion and content, where topics are analyzed by use case.

Check the terms of free access

Free access, a trial period, and a neural network without registration mean different things. A free plan provides a permanent set of basic features with limitations. Trial access lasts only until the conditions set by the service are exhausted. Working without an account sometimes allows several requests, but does not let you save history, upload documents, or create images.

Before registering, check whether an email address, phone number, or sign-in through a third-party account is required; which features are available without payment; whether you can delete the account and history; whether the platform stores uploaded files; and whether the rules allow commercial use of the result. Terms change, so it is worth reading them on the selected service's page before starting work.

Compose your first prompt

A working prompt formula looks like this: role or context, task, input data, output format, and limitations. Such a request to a neural network helps the model understand not only the topic but also the quality criteria.

Text example: “You are an editor. Prepare an article outline for beginners about free neural networks. Use a simple, neutral style. Add sections about registration, limits, data security, and fact-checking.”

Image example: “Create a horizontal illustration for an article about working with artificial intelligence: a laptop, chat interface, neutral blue and white colors, no text or logos.”

Refine the result instead of starting over

Neural networks work better in a dialogue. After the first response, ask the model to shorten the text to five points, explain the topic without professional jargon, format the material as a table, separate facts from assumptions, or list the information that needs to be checked independently.

This approach is especially useful when preparing content. Instead of five new generations, you can give the model precise editorial feedback and get a more usable result. A separate SEO Mind42 article about access to ChatGPT and AI for promotion tasks will help you understand how AI chats are used in SEO processes.

Which Free Neural Networks Can Be Used in Russia

Users in Russia have access to various categories of AI services: chats for text and consultation scenarios, image generators, tools for video, speech transcription, presentations, spreadsheets, and documents. Access terms depend on the specific platform, sign-in method, selected model, and service rules.

An AI chat is suitable for ideas, structure, drafts, translation, and editing. An image neural network creates illustrations based on a description. Video tools help prepare a script, subtitles, voice-over, storyboard, or short video. Files require separate services that support document uploads and explain how they process the contents.

Specific free features change faster than the basic principles of operation. Before using a service, check its availability in Russia, registration requirements, Russian-language interface, limits, data storage rules, and terms for using created materials.

Can You Use a Neural Network for Free and Without Registration

Sometimes, but without registration a service usually opens only basic mode. The user may not get request history, file uploads, image saving, advanced models, or an extended dialogue with the chatbot.

If the platform asks you to create an account, use a separate work email address and do not provide information that is not required by the service rules. A phone app does not automatically make work safer: it processes data under the same platform rules, and its set of features may differ from the browser version.

How to Use a Neural Network for Text, Images, and Video

For text

A neural network helps plan publications, prepare drafts, shorten materials, explain terms, suggest headline options, and gather content ideas. It is useful during preparation but does not replace editing: check for factual errors, repetitions, unnatural wording, and whether the text meets its purpose.

For SEO, do not publish generated content without checking it. Search engine optimization requires accurate product data, a clear structure, a useful answer to the search intent, and quality control—not mass production of similar texts.

For images

Describe the subject, objects, composition, style, orientation, and prohibitions. The wording “office, people, modern” leaves the model too much freedom. A specific description provides more control: specify the angle, color scheme, presence of text, image format, and unwanted elements.

Do not use other people's logos, protected characters, or photographs of people without legal grounds. Free image generation may limit the number of attempts, file size, processing speed, or rights to commercial use.

For video

A neural network for video helps prepare scripts, storyboards, subtitles, voice-overs, editing prompts, and short visual clips. Free access often limits video length, export quality, number of generations, or the presence of a watermark.

Watch the entire result before publishing. Check captions, sound, faces, dates, names, figures, and whether the visuals meet the task. An error in a short video spreads just as quickly as one in a text publication.

If you decide to choose a paid plan while reading, compare the official price with the price through a partner before subscribing directly: the difference is usually several times, and the calculation is provided at the beginning and end of the article.

How to Use Neural Networks Properly at Work and in Study

AI is useful as an assistant for preparation and checking structure, not as a replacement for professional expertise. Separate your own input data from the model's suggestions. If a neural network invents a phrase, link, or fact, that does not make the information reliable.

Record the requirements before starting generation: target audience, style, format, length, limitations, and sources. For study tasks, use AI to review a topic, create an outline, or get questions for self-checking. The finished answer should be reworked and compared with course materials.

Attention. Do not present automatically generated text as an expert opinion. Medical, financial, legal, and technical recommendations require verification by a specialist or against official documents.

If a request contains information that can identify a person, take into account the requirements of Federal Law No. 152-FZ “On Personal Data.” Federal Law No. 149-FZ “On Information, Information Technologies, and the Protection of Information” regulates the handling of information in the digital environment.

Do not post passport details, phone numbers, addresses, health information, financial details, passwords, contracts with confidential terms, or internal customer databases in public chats. Use anonymized examples, templates, and fictional data to test prompts.

Copyright in source materials and the rules for using the results are governed by Part Four of the Civil Code of the Russian Federation. Do not assume that every text or visual created by a neural network is free of restrictions: before using it commercially, review the service's rules and make sure the source materials do not infringe anyone else's rights.

Article 13.11 of the Code of Administrative Offenses of the Russian Federation establishes liability for violations of personal data laws. Roskomnadzor oversees this area. The practical question here is simple: are you prepared to explain why you transferred the data to a third-party service and on what legal basis you did so?

Detailed context for promotion specialists is covered in the guide to using neural networks legally in SEO.

Common beginner mistakes

The first mistake is using a prompt that is too general. The user asks the tool to “write a post,” gets a generic text, and concludes that the tool is useless. The fix is simple: specify the topic, audience, format, length, tone, and constraints.

The second mistake is expecting a perfect result on the first try. Generating content requires refinement, much like working with an editor or designer. Give feedback, ask for changes to the structure, removal of repetition, or addition of a missing section.

The third mistake is trusting the AI's response. A neural network can provide convincing but unverified figures, regulations, and sources. Fact-checking is always necessary when the result affects a decision, publication, contract, advertisement, or money.

Another problem arises when choosing a service based on the promise that “everything is free.” Free-plan limits, speed, model availability, and rules for commercial use matter more than the advertising claim. Compare services not by the number of features, but by whether the tool solves your problem.

When a free neural network is enough, and when you need a different tool

A free neural network is suitable for getting acquainted with artificial intelligence, occasional tasks, generating ideas, drafting, testing prompts, editing, and creating simple illustrations. This access lets you see how a particular tool works without committing to a paid plan.

You may need another service or a paid plan for regular work with large volumes of content, team access, file processing, advanced models, high-quality images and video, integrations, or data management requirements. Make a decision after assessing your actual workload and the rules for processing information.

Conclusion

You can start using a neural network for free with a small task: prepare an outline, improve a draft, come up with headlines, or describe an image. A clear prompt, fact-checking, and careful handling of data are more useful than searching for a service that promises unlimited generation.

  • Choose an AI tool for a specific task, not for its impressive name.
  • Check the limits, registration requirements, data deletion rules, and rights to the results.
  • Refine the prompt in the conversation if the first generation is not suitable.
  • Do not share personal or confidential information with a public service.

SEO Mind42 publishes free practical resources on AI, SEO, and automation so you can use neural networks thoughtfully and check the results before publication.

FAQ

Which neural network can I use for free?

Free access is offered by AI chats, text and image generators, and some video tools. Choose a service based on your task, registration requirements, availability in Russia, Russian-language support, and free-plan restrictions.

Can I use a neural network without registering?

Sometimes a service allows a few requests without an account, but usually limits its features. Without registration, you may not have access to conversation history, file uploads, saved work, or advanced models.

Can I install a neural network on my phone?

Yes, many AI services work through mobile apps or a phone browser. Before installing an app, check its developer, data processing rules, and available features.

How do I write a good prompt for a neural network?

Specify the context, task, source data, response format, and constraints. Instead of a general request, ask for a specific result: for example, an article outline for a particular audience with a list of required sections.

Can I trust text created by a neural network?

A neural network can help prepare a draft, but it can make mistakes in dates, figures, names, links, and conclusions. Check facts against primary sources and edit the text before publication.

Can I upload client documents to an AI chat?

Do not upload documents containing personal data, trade secrets, financial information, or confidential terms without assessing the data processing rules. Use anonymized versions and templates for tests.

If the free limits are not enough, you can arrange API access to models directly from the vendor or through the Clodex partner service—below is a comparison of official prices and prices through the partner. For example, GPT-5.6 Terra through the partner is 28,6 times cheaper than the official price—the full list of models is in the table.

Model price comparison table
ModelOfficial: input / outputThrough Clodex: input / output
qwen3.6-flashInput: 0,25 $ / 1 million tokens
Output: 1,5 $ / 1 million tokens
Input: 0,019 $ / 1 million tokens
Output: 0,019 $ / 1 million tokens
qwen3.6-plusInput: 0,5 $ / 1 million tokens
Output: 3 $ / 1 million tokens
Input: 0,032 $ / 1 million tokens
Output: 0,032 $ / 1 million tokens
qwen3.7-plusInput: 0,4 $ / 1 million tokens
Output: 1,6 $ / 1 million tokens
Input: 0,045 $ / 1 million tokens
Output: 0,045 $ / 1 million tokens
codex-auto-review—Input: 0,0525 $ / 1 million tokens
Output: 0,0525 $ / 1 million tokens
gemini-3.7-flashInput: 0,75 $ / 1 million tokens
Output: 3,75 $ / 1 million tokens
Input: 0,06 $ / 1 million tokens
Output: 0,24 $ / 1 million tokens
gemini-3.7-flash-highInput: 0,75 $ / 1 million tokens
Output: 3,75 $ / 1 million tokens
Input: 0,06 $ / 1 million tokens
Output: 0,24 $ / 1 million tokens
gemini-3.7-flash-lowInput: 0,75 $ / 1 million tokens
Output: 3,75 $ / 1 million tokens
Input: 0,06 $ / 1 million tokens
Output: 0,24 $ / 1 million tokens
gemini-3.7-flash-mediumInput: 0,75 $ / 1 million tokens
Output: 3,75 $ / 1 million tokens
Input: 0,06 $ / 1 million tokens
Output: 0,24 $ / 1 million tokens
qwen-image-2.0—0,06 $ / шт.
gpt-5.6-lunaInput: 0,2 $ / 1 million tokens
Output: 1,2 $ / 1 million tokens
Input: 0,063 $ / 1 million tokens
Output: 0,504 $ / 1 million tokens
grok-composer-2.5-fast—Input: 0,068 $ / 1 million tokens
Output: 0,068 $ / 1 million tokens
clodex-cursor—Input: 0,07 $ / 1 million tokens
Output: 0,07 $ / 1 million tokens
gpt-5.6-terraInput: 2 $ / 1 million tokens
Output: 12 $ / 1 million tokens
Input: 0,07 $ / 1 million tokens
Output: 0,56 $ / 1 million tokens
deepseek-v4-proInput: 1,32 $ / 1 million tokens
Output: 3,96 $ / 1 million tokens
Input: 0,08 $ / 1 million tokens
Output: 0,08 $ / 1 million tokens
grok-4.5Input: 2 $ / 1 million tokens
Output: 6 $ / 1 million tokens
Input: 0,08 $ / 1 million tokens
Output: 0,08 $ / 1 million tokens
grok-4.6Input: 2 $ / 1 million tokens
Output: 6 $ / 1 million tokens
Input: 0,08 $ / 1 million tokens
Output: 0,08 $ / 1 million tokens
clodex-cursor-pro—Input: 0,084 $ / 1 million tokens
Output: 0,084 $ / 1 million tokens
gemini-3.6-flashInput: 0,75 $ / 1 million tokens
Output: 3,75 $ / 1 million tokens
Input: 0,09 $ / 1 million tokens
Output: 0,36 $ / 1 million tokens
kimi-k3—Input: 0,09 $ / 1 million tokens
Output: 0,09 $ / 1 million tokens
glm-5.2—Input: 0,1 $ / 1 million tokens
Output: 0,1 $ / 1 million tokens
gpt-image-2—0,1 $ / шт.
nano-banana-2—0,1 $ / шт.
deepseek-v4-flashInput: 0,44 $ / 1 million tokens
Output: 1,32 $ / 1 million tokens
Input: 0,12 $ / 1 million tokens
Output: 0,12 $ / 1 million tokens
qwen-image-2.0-pro0,075 $ / шт.0,12 $ / шт.
qwen-image-3.0-pro—0,12 $ / шт.
qwen3.7-maxInput: 2,5 $ / 1 million tokens
Output: 7,5 $ / 1 million tokens
Input: 0,13 $ / 1 million tokens
Output: 0,13 $ / 1 million tokens
glm-5.3—Input: 0,15 $ / 1 million tokens
Output: 0,15 $ / 1 million tokens
MiMo-V2-Flash—Input: 0,162116 $ / 1 million tokens
Output: 0,162116 $ / 1 million tokens
qwen3.8-max—Input: 0,17 $ / 1 million tokens
Output: 0,17 $ / 1 million tokens
grok-imagine-video-1.5—0,18 $ / шт.
MiniMax-M2.1—Input: 0,2 $ / 1 million tokens
Output: 0,2 $ / 1 million tokens
MiniMax-M2.5—Input: 0,22233 $ / 1 million tokens
Output: 0,22233 $ / 1 million tokens
MiniMax-M2.7—Input: 0,22233 $ / 1 million tokens
Output: 0,22233 $ / 1 million tokens
MiniMax-M3—Input: 0,22233 $ / 1 million tokens
Output: 0,22233 $ / 1 million tokens
gpt-5.5Input: 5 $ / 1 million tokens
Output: 30 $ / 1 million tokens
Input: 0,25 $ / 1 million tokens
Output: 1,5 $ / 1 million tokens
gpt-5.6-solInput: 5 $ / 1 million tokens
Output: 30 $ / 1 million tokens
Input: 0,25 $ / 1 million tokens
Output: 2 $ / 1 million tokens
claude-haiku-4-5Input: 1 $ / 1 million tokens
Output: 5 $ / 1 million tokens
Input: 0,2805 $ / 1 million tokens
Output: 1,4025 $ / 1 million tokens
claude-haiku-4-5-20251001Input: 1 $ / 1 million tokens
Output: 5 $ / 1 million tokens
Input: 0,2805 $ / 1 million tokens
Output: 1,4025 $ / 1 million tokens
claude-opus-4-7Input: 5 $ / 1 million tokens
Output: 25 $ / 1 million tokens
Input: 0,3 $ / 1 million tokens
Output: 1,5 $ / 1 million tokens
claude-sonnet-4-6Input: 3 $ / 1 million tokens
Output: 15 $ / 1 million tokens
Input: 0,34125 $ / 1 million tokens
Output: 1,70625 $ / 1 million tokens
claude-sonnet-5Input: 2 $ / 1 million tokens
Output: 10 $ / 1 million tokens
Input: 0,35 $ / 1 million tokens
Output: 1,75 $ / 1 million tokens
Kimi-K2—Input: 0,423486 $ / 1 million tokens
Output: 0,423486 $ / 1 million tokens
Kimi-K2-Thinking—Input: 0,423486 $ / 1 million tokens
Output: 0,423486 $ / 1 million tokens
MiniMax-M2.7-highspeed—Input: 0,44466 $ / 1 million tokens
Output: 0,44466 $ / 1 million tokens
claude-opus-4-8Input: 5 $ / 1 million tokens
Output: 25 $ / 1 million tokens
Input: 0,45 $ / 1 million tokens
Output: 2,25 $ / 1 million tokens
kimi-k2.5—Input: 0,489655 $ / 1 million tokens
Output: 0,489655 $ / 1 million tokens
kimi-k2.6—Input: 0,701398 $ / 1 million tokens
Output: 0,701398 $ / 1 million tokens
kimi-k2.7-code—Input: 0,701398 $ / 1 million tokens
Output: 0,701398 $ / 1 million tokens
claude-opus-5Input: 5 $ / 1 million tokens
Output: 25 $ / 1 million tokens
Input: 0,85 $ / 1 million tokens
Output: 0,85 $ / 1 million tokens
kimi-k2.7-code-highspeed—Input: 1,402797 $ / 1 million tokens
Output: 1,402797 $ / 1 million tokens
claude-fable-5Input: 10 $ / 1 million tokens
Output: 50 $ / 1 million tokens
Input: 2,5 $ / 1 million tokens
Output: 2,5 $ / 1 million tokens

Partner price source: Clodex. Price check date: 2026-08-18.

SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.

Compare models before you start

The service sets its plans, limits and model catalog. If they differ from this article, contact us so we can update it and record a new review date.

Browse models

Affiliate link: your price stays the same and the project earns a commission.

how to use a neural network for free

SEO Mind42 editorial team

We explore SEO and neural networks in practice: test services on our own projects, verify prices and limits against primary sources, and share things you can put to use the same day.

📚 Reference guide to SEO and AI 🔄 Materials are updated 🕐 Updated: 3 October 2026

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