AI GUIDEPartner content

19 free neural networks for text, images, video, and presentations in Russia

A selection of 19 free neural networks for text, images, photos, video, presentations, and work-related tasks. Features, Russian-language support, and limitations of free plans.

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

You need to prepare text, an image, a video, or a presentation, but a paid subscription is not currently part of your plans. 19 free neural networks from this selection help handle such tasks online: writing and editing materials, creating images, animating photos, searching for information, and assembling work documents. Each service has its own free-access terms, which are worth checking before you start working.

If a paid model is needed for the task—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.

A quick overview

  • A free neural network usually means a limited plan, not unlimited access to all features.
  • A neural network for text, an image generator, and a neural network for video solve different tasks. There is no universal tool without trade-offs.
  • Many AI services support Russian, but the quality of text generation, prompt recognition, and the interface varies.
  • Before working, check the limits, watermarks, export resolution, registration requirements, and rules for commercial use.
  • Artificial intelligence speeds up routine work, but a person must verify facts, figures, links, calculations, and legally significant wording.
  • Files containing client, employee, or internal correspondence data must not be uploaded to an online service without assessing its information-processing terms.
A practical principle. First define the task, then test two or three relevant tools using the same prompt. This makes it easier to compare the quality of the result, Russian-language support, and the actual limitations of the free plan.

What is meant by a free neural network

Free neural networks operate under different access models. Some services open basic features to all users, others provide a limited number of requests or generations, and still others let you try the product before switching to a paid plan. The word “free” says little about an instrument’s capabilities without clarification of the terms.

Completely free access

Sometimes a service opens a basic model or some features at no cost. Users can create text, get answers to questions, or make simple images, but access to new models, high speed, expanded export options, and additional tools remains limited. The terms of such products change, so they should be checked in the interface and the user rules.

Freemium model

Freemium means that a free plan exists permanently but covers only some use cases. A paid plan usually adds more generations, priority processing, expanded models, higher image resolution, team features, or commercial rights to the extent determined by the platform.

Trial period and free credits

Trial access differs from a free plan. A service may provide initial credits, open premium features for a limited period, or allow you to create several works before payment is required. This option is suitable for a one-time evaluation of a tool, but it does not guarantee that you will be able to use it regularly without expenses.

Local models

A local neural network runs on the user’s computer rather than in a cloud chat. This approach is useful when working with internal materials and when it is necessary to control the data-processing environment. However, a local model requires computing resources, configuration, an understanding of its license, and software skills.

How to choose a neural network for a task

A top list of neural networks does not replace proper selection. A chatbot that is good at preparing an article outline is not necessarily good at creating images, while a video generator is not suitable for analyzing documents. Match the tool to the specific action you need to perform today.

  1. Define the main result. This may be text, a photo, an image, video, a presentation, audio, an information search, or file analysis.
  2. Check Russian-language support. For work with a Russian-speaking audience, not only the menus matter, but also the quality of wording, understanding of context, and accuracy of the response.
  3. Assess export options. Image generation is not always useful: check the resolution, watermark, file format, and whether further editing is possible.
  4. Clarify the rights. A personal, educational, or commercial project may be subject to different terms on a particular platform.
  5. Consider the data. If the source contains personal data, payment details, a client database, or contract terms, first study the information-processing rules.
  6. Compare the limits. The free mode may limit the number of messages, available models, response speed, or export volume.
  7. Run a short test. The same prompt in several services will show more quickly which result is suitable for work.

What happens if you choose an AI service based only on popularity? Users often spend time registering and configuring it, only to discover that the required feature belongs to a paid plan or that the result cannot be exported in the required format.

19 free neural networks for different tasks

The selection includes standalone AI services, search assistants, image generators, video platforms, and tools for work materials. Free-access features, registration requirements, availability for users in Russia, and rules for using the results change over time. Before putting a selected product into regular use, check its terms in the interface.

Neural network or service Main task Russian language What is available for free What to check before working
ChatGPT Text, analysis, ideas Works with requests in Russian Some features depend on account terms Available models, limits, file processing
GigaChat Text and work-related requests Designed for the Russian language Basic use cases within the service’s terms Registration and data-processing rules
Alice AI Text, search, everyday tasks Russian language Some AI features within the service ecosystem Available modes and limitations
DeepSeek Text, reasoning, code Supports requests in Russian Access to certain features under the product’s terms Limits and data-handling rules
Perplexity AI-powered search Understands Russian Basic search and answers Sources, dates, and available modes
Microsoft Copilot Text, search, documents Supports Russian Some use cases at no cost Connection to the account and applications
Mistral Le Chat Text and analysis Works with requests in Russian Basic access depends on the service’s rules Models, file uploads, limits
Claude Text and documents Understands Russian Limited access to some features Availability and message limits
Kandinsky Image creation Russian language Image generation within the service Resolution, rights, and export
Shedevrum Images and visual ideas Russian language Basic generation under the platform’s terms Publishing works and content rules
Leonardo AI Images and design concepts Prompts in Russian are possible Some generations in free mode Credits, license, availability
Ideogram Images with text Prompts in Russian are possible Limited generations Watermarks and commercial rights
Adobe Firefly Photo generation and editing Support depends on the feature Some AI tools under Adobe’s terms Credits, export, rights to the source material
Pika Short video Prompts in Russian are possible Limited access to video generation Queue, watermarks, export
Runway Video and visual effects Prompts in Russian are possible Test features under the platform’s terms Credits, resolution, license
Kling AI Text-to-video and image-to-video Prompts in Russian are possible Access to some modes Queue, quality, export
Gamma Presentations and documents Works with Russian text Basic material creation Export, templates, access to AI features
Canva with AI tools Design, photos, presentations Support depends on the feature Some features are available at no cost Paid-plan elements and licenses
Suno Music and audio Prompts in Russian are possible Generation within the service’s rules Rights to the result and commercial use

Neural networks for text, ideas, and information analysis

ChatGPT is suitable for article drafts, text editing, outlining, scripts, letters, and explaining complex topics. Free mode may provide access only to some models and tools. The service’s strength lies in dialogue: the result can be conveniently refined through several messages. Check the facts, especially if the response contains figures, regulations, quotations, or links.

GigaChat is useful for Russian-language work tasks: generating text and wording, structuring documents, and developing content ideas. It is suitable for editors, marketers, students, and specialists who value the Russian language. Do not upload client databases, contracts, or documents containing personal data to the chat without assessing the information-processing rules.

Alice AI helps with everyday questions, creating short texts, finding ideas, and working with Russian-language requests. The service is convenient when you need a quick draft or suggestion rather than in-depth research. For analytics and complex generation, it is worth comparing the answer with the results of other chatbots.

DeepSeek is used for text generation, logic problems, programming, and analyzing large amounts of information. It is useful to include in a test when several versions of an explanation, structure, or code are needed. The result must be checked: a neural network’s confident wording does not confirm that the answer is accurate.

Perplexity differs from an ordinary chatbot through its search-based workflow. It helps gather initial information on a topic, view sources, clarify a term, or find publications for further verification. Do not treat a collection of sources as a finished study: open the materials, check the date, and assess whether the source actually supports the claim.

Microsoft Copilot is suitable for search, drafts, brief summaries, and certain document-related tasks. The set of features depends on the product version and account. The tool is useful for those already working in the Microsoft ecosystem, but important tables, calculations, and final wording still need to be checked manually.

Mistral Le Chat can be used for answering questions, generating text, translating, and analyzing information. It can serve as another independent option when comparing drafts. The same request in several models often reveals differences in structure, accuracy, and style better than abstract reviews do.

Claude is convenient for working with long texts, structuring materials, editing, and analytical drafts. Free access and the availability of individual features depend on the service’s current terms. When uploading a file, remove personal data, payment details, and confidential information in advance.

For regular work with chatbots, our category of materials about AI and neural networks may be useful. There, SEO Mind42 examines the use of artificial intelligence in content, analytics, and search promotion without promises of instant results.

Neural networks for creating images and editing photos

Kandinsky is suitable for generating illustrations, covers, visual references, and images for publications. Russian-language support makes the service convenient for initial prompt experiments. Describe the task in detail: specify the subject, composition, style, aspect ratio, lighting, and unwanted elements.

Shedevrum helps create images and visual ideas in a Russian-language interface. It can be used for sketches, content planning, references for a designer, and testing an artistic concept. A generated image does not eliminate the need to check rights if it contains recognizable third-party brands, characters, logos, or objects.

Leonardo AI is geared toward image creation, design concepts, and stylization. The free version usually has limits set by the platform. The tool can help designers and marketers quickly compare several visual directions before preparing a full layout.

Ideogram is useful for images where text matters: posters, covers, advertising layouts, and title images. The neural network can still make mistakes with letters, punctuation, and line breaks, especially in long Russian phrases. After generation, proofread the text in the image as carefully as you would text in a document.

Adobe Firefly is suitable for image generation and specific photo-editing tasks, including working with backgrounds and visual objects. Editing a photo differs from creating an image from scratch: in the first case, rights to the source file matter, as does the person’s consent if they can be identified in the image.

Warning. Article 152.1 of the Civil Code of the Russian Federation governs the use of a person’s image. Do not publish an edited or generated image of an identifiable person without a legal basis and an assessment of the specific circumstances.

Neural Networks for Video Creation and Photo Animation

Pika helps create short videos from text or images. The tool is suitable for a rough visual concept, an animated illustration, or testing an idea for social media. The free version may limit the queue, quality, video length, export, or number of attempts.

Runway is used to generate videos and effects, work with source footage, and create visual prototypes. The service does not replace full-scale video production when precise movement, branded filming, complex graphics, or legally cleared material is needed. It works well for creating a quick draft that a specialist can then refine.

Kling AI works with text-to-video and image-to-video workflows. It can be useful for short clips, animating an image, and preliminary testing of a visual idea. Videos often contain artifacts: hands, faces, text, logos, and object positions may change. Review the final footage frame by frame.

Video neural networks require especially careful oversight. An error in movement or a distorted logo may go unnoticed in the preview but become obvious after publication. First make a short test, then select usable clips, and only after that assemble the final edit.

Neural Networks for Presentations, Documents, and Work Materials

Gamma helps turn key points into a presentation structure, a draft report, educational material, or a speech outline. The service is useful for building the framework: it suggests a sequence of slides and a visual style. Numbers, charts, product names, and conclusions require manual editorial review.

Canva with AI Tools is suitable for designing presentations, posts, simple layouts, photo edits, and visual materials. Some templates, elements, and AI features may be part of a paid plan. Before publishing, check the license for each image, font, and graphic element.

Microsoft Copilot can help with document workflows by compiling key points, drafting an email, outlining a report, or listing questions for a meeting. AI should not make the final decision on client presentations: a person should check branding, terminology, calculations, and factual accuracy.

Neural Networks for Music and Audio

Suno is used to create music demos, background compositions, jingles, and sound ideas for videos. It is a tool for exploring a direction, not a reason to ignore music rights. Do not ask the service to imitate a specific performer, and do not use protected works without the rights holder’s permission.

The terms for commercial use of audio created by a neural network depend on the rules of the specific platform and the selected access plan. Check them before placing a track in an advertisement, video, podcast, or commercial presentation.

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

Comparing Neural Networks by Task

Task Services to Try What to Look Out For
Write text ChatGPT, GigaChat, DeepSeek, Claude Fact-checking, style, working with Russian
Find information Perplexity, Microsoft Copilot Sources, dates, original data sources
Create an image Kandinsky, Ideogram, Leonardo AI License, watermark, text quality in the image
Edit a photo Adobe Firefly, Canva Rights to the source photo and the person’s image
Make a video Pika, Runway, Kling AI Export, artifacts, facial and logo distortions
Create a presentation Gamma, Canva, Microsoft Copilot Editing numbers, design, and branding
Create music Suno Rights to the output and terms of use

How to Get Good Results from a Neural Network

Describe the task, not just one word

The prompt “write an article” almost always produces generic text. A good request explains who the output is for, what problem it solves, what format the answer should take, and what restrictions must not be violated.

A practical formula looks like this: role + task + audience + output format + restrictions + quality criteria. For example, instead of a general request, ask for an outline for a specific audience, specifying the tone, length, required points, and a ban on unsupported claims.

Refine the result in several iterations

The neural network’s first response is still a draft. First get an outline, then clarify the arguments, remove repetition, check the facts, edit the style, and assess legal restrictions. This approach works for generating text as well as creating images, videos, or presentations.

  1. Build the structure. Ask the neural network to identify sections, audience questions, and the logic of the material.
  2. Clarify the details. Add facts, terminology, brand style, and task constraints.
  3. Check accuracy. Verify numbers, quotes, names, dates, and links against reliable sources.
  4. Edit the result. Remove clichés, errors, logical gaps, and unnecessary promises.
  5. Assess the risks. Check personal data, copyright, images of people, and third-party materials.

Do not upload sensitive data without checking the terms

Federal Law No. 152-FZ “On Personal Data” requires personal data to be processed lawfully. If a file contains full names, contact details, payment details, correspondence, health information, or client information, do not send it to a public neural network without assessing the data-processing arrangements and internal access rules.

The appropriate action is simple: anonymize the file, remove identifying details, replace real names with placeholders, and include only the information the AI needs to complete the task. Federal Law No. 149-FZ governs relations in the fields of information, information technology, and information security, so the team should establish procedures for working with digital services.

SEO Mind42 discusses in a separate article lawful use of neural networks in SEO, including the use of AI in content and marketing workflows.

Neural networks do not exempt users from the requirements of Part Four of the Civil Code of the Russian Federation. Article 1259 defines copyright-protected works, while Article 1270 governs the use of works. You must not upload other people’s texts, photos, music, illustrations, or other materials to an AI service unless you have the right to do so.

Generated output also needs to be checked. An image may resemble a well-known brand, character, or artist’s work; a video may contain a distorted logo; and text may reproduce recognizable passages from source materials. Before publishing in an advertisement, on a website, or in print, assess the content and the rules of the platform you have chosen.

Roskomnadzor supervises the area of personal data. Article 13.11 of the Code of Administrative Offenses of the Russian Federation provides for liability for violations of personal data legislation. This does not mean AI tools are prohibited, but the workflow must take into account the information being uploaded, the legal basis for processing it, and who has access to the results.

Review threshold. For publishing advertising, a contract, or medical, legal, or financial material, an AI response alone is not enough. The final version must be reviewed by a qualified specialist who is responsible for its content and the consequences of using the document.

Which Free Neural Network Should You Choose? Conclusion

For Russian-language text, compare GigaChat, Alisa AI, ChatGPT, DeepSeek, Mistral Le Chat, and Claude on a task from your own workflow. For search and initial research, try Perplexity and Microsoft Copilot, provided you verify sources and dates. For image generation, test Kandinsky, Ideogram, Leonardo AI, or Adobe Firefly; for short videos, start with Pika, Runway, or Kling AI.

The best service does not have to rank first on someone else’s list. It should deliver usable results for a specific task, work under the conditions available to you, and pose no unacceptable risks to data, rights, or the project’s reputation.

  • Choose a tool based on the task, not the model’s flashy name.
  • Check the free plan’s limits and terms before using it regularly.
  • Edit text, images, videos, and presentations before publishing.
  • Do not share sensitive data with cloud-based AI services without assessing their data-processing terms.

At SEO Mind42, we regularly update practical materials on AI tools and their use in promotion. To continue exploring the topic, see our overview of access to ChatGPT and AI tools for SEO in Russia.

FAQ

Which neural network is available for free?

Many AI services offer a free plan, basic features, or limited trial access. Before you start, check the limits, available models, export rules, watermarks, and registration requirements.

Which free neural network is best for Russian-language text?

There is no single leader. Compare several chatbots on the same task: ask them to create an outline, write a draft, shorten the material, and edit the style. Assess accuracy, logic, grammar, and how easy the output is to refine.

Is there a free neural network with no limits?

Unlimited access is rare with cloud-based AI services. Free access is usually limited by the number of requests, processing speed, available models, generation resolution, number of exports, or access to additional features.

Can materials created by a neural network be used in commercial projects?

This depends on the rules of the specific platform, the nature of the output, and the rights to the source materials. Before using it in advertising, on a website, or in a client project, check the service’s terms and the rights to images, music, templates, and other elements.

Which version of ChatGPT can be used for free?

Free access to ChatGPT and the features available depend on the service’s current terms and the account. Before working, check which models, file uploads, search, and other tools are available in your interface.

Can client documents be uploaded to a neural network?

You should not do this without checking the data-processing terms. Remove personal data, payment details, medical information, trade secrets, and confidential contract terms. Workflows involving such materials require separate procedures for access and information processing.

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

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.

19 free neural networks

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: 4 October 2026

Related reading

All in this section →