AI Music Generation: Complete Guide and Comparison

ChatGPT is a powerful tool for generating text, code, creating content strategies, and even working with images. It allows users to get accurate answers to complex questions across many fields of human activity. Developed by OpenAI based on the GPT architecture, this AI assistant can understand context, maintain long conversations, and adapt its communication style to the user’s needs. To get the most useful answers, it’s important to learn how to properly formulate requests, or “prompts,” for ChatGPT. We’ll explain this in more detail below. We’ll also share the best ChatGPT prompts to help you work more efficiently, show how to build well-structured requests, give examples with detailed ChatGPT responses, and explain how to write prompts for visual content through DALL·E. All examples in this article use the free version of ChatGPT. What Prompts Are and Why They Matter A prompt is a text request that a user sends to ChatGPT or another AI model to get a desired answer. Simply put, it’s an instruction for the neural network explaining exactly what you want to receive. Why is it important to create a good prompt for ChatGPT? Here are the main reasons: Improved answer accuracy: The clearer and more detailed your prompt, the more relevant and useful the response will be. Time savings: A well-structured request saves you from repeatedly rephrasing or clarifying your question. Fewer mistakes: Clear instructions reduce the risk of incorrect or outdated information. Optimized workflow: Good prompts let you automate complex tasks, from content creation to data analysis. Structured results: Properly designed prompts help get answers in the needed format: lists, tables, step-by-step guides, etc. Personalized responses: Adding context to your request makes ChatGPT’s answers more relevant to your needs (context includes role, tone, audience, format, etc.). Better AI learning: Well-crafted prompts help the AI understand your preferences over time. That’s why it’s best to keep an ongoing conversation with ChatGPT within one chat thread when working on the same topic. ChatGPT analyzes your request and provides the most relevant answer based on previously learned data. The clearer your prompt, the more accurate the AI’s response will be. Examples of Weak and Strong Prompts 🔴 Weak Prompt 🟢 Strong Prompt “Collect information about clouds.” “Write a 1,000-word piece about the benefits of cloud technologies for small businesses. Include a comparison of Hostman with competitors.” “Tell me about hosting.” “Compare Hostman and AWS pricing for high-traffic websites. Highlight the pros and cons of each.” “Write something about marketing.” “Write 5 marketing strategies for promoting a SaaS product in 2025 via Facebook. Format: short description + 3 concrete actions for each.” How to Create Your Own Prompts Below are the main rules for writing effective prompts and common mistakes to avoid when working with ChatGPT. Rules for Writing Prompts Main principles for crafting perfect prompts: The more specific your request, the more relevant the answer. Always specify the desired output format (list, table, step-by-step guide). For professional tasks, add context (AI’s role, difficulty level, target audience). Use examples and analogies to match your expectations precisely. Clearly state any constraints or special requirements. Indicate timeframes for data relevance. Ask for sources when you need verified information. Balance detail with conciseness. Another useful tip: save successful prompts somewhere convenient: a text editor, personal notes, or a dedicated ChatGPT chat named “Templates.” This helps in the future since many prompts can be reused simply by changing key parameters. You can also use existing prompt libraries and adapt them to your needs, for example, prompthackers.co. Common Mistakes Here are typical mistakes when writing prompts, along with examples of how to improve them: Too general requests 🔴 “Tell me about AI.” 🟢 “Explain how ChatGPT is used in the banking sector in 2025.” Lack of structure 🔴 “Give tips on time management.” 🟢 “Create a checklist: ‘5 time management methods for remote workers.’ Format: Name → Essence → Example.” Ignoring context 🔴 “Write a text.” 🟢 “Write a commercial proposal for Hostman (audience: CTOs of mid-sized companies). Tone: expert, but conversational.” Vague clarifications 🔴 “Make it shorter.” 🟢 “Reduce to 300 words, keeping key data from the table.” Overloading with details 🔴 “Write an article about cloud technologies but exclude AWS, Microsoft Azure, IBM Cloud, Oracle Cloud, DigitalOcean, Linode, Vultr.” 🟢 “Write an article ‘AWS Alternatives for Small Businesses’ with the main focus on Hostman” Top 10 Universal Prompts for ChatGPT This section includes ready-made prompt templates that will become reliable tools when working with ChatGPT. These prompts cover a wide range of tasks, from creative brainstorming to complex technical analysis. We’ll look at 10 universal and practical prompts for the following categories: Analysis and comparison Idea generation Psychology and self-development Content strategy Writing and editing Programming Image generation (DALL·E) Learning and education Business Creativity Each template is: Well thought out: structured for high-quality answers Universal: suitable for both beginners and professionals Flexible: easily adaptable to specific needs To use a template, choose the category and replace the placeholders in square brackets with your own values. For complex tasks, you can even combine several templates into one (an example will be shown at the end of the section). All prompts are optimized for GPT-4 and newer versions to ensure highly relevant results even for advanced professional use. 1. For Analysis and Comparison Purpose: Professional comparison of products, services, or technologies based on specific criteria with expert conclusions. Ideal for: Selecting IT solutions, preparing reviews, making business decisions. Template: Compare [Object A] and [Object B] by the following criteria: [1–5 parameters]. Format: table with columns “Feature,” “Object A,” “Object B,” and “Recommendation.” Specify the best option for [scenario]. Example: Compare Hostman VPS and Linode VPS by: price per 1 vCPU, SLA, support speed, and control panel usability. Highlight the optimal choice for a startup with 50K visitors/month. ChatGPT response: Tips: Set timeframes: 🔴 “Compare hosting prices.” 🟢 “Compare 2025 hosting prices including seasonal discounts.” Ask for data sources: 🔴 “Which platform is better?” 🟢 “Compare using data from official websites and independent tests.” Provide context: 🔴 “Which is cheaper?” 🟢 “Which is more cost-effective for a site with 50K visits/month: shared hosting or VPS?” Ask for alternatives: “If the budget is limited to $35/month, what are Hostman’s alternatives?” Specify output format: “Present the data in a table, then give a short verdict for beginners.” 2. For Idea Generation Purpose: Structured brainstorming with clear logic. Application: Finding concepts for startups, content marketing, product design, or creative projects. Template: As a [role], suggest [N] ideas for [task]. Structure: 1) Title → 2) Target Audience → 3) Benefit → 4) Example → 5) Risks.Focus on: [requirements]. Example: As an art director, suggest 5 ad campaign ideas for Hostman in the metaverse. Focus on interactivity and B2B audience. ChatGPT response: Tips: Rank ideas by priority: 🔴 “Give 5 post ideas.” 🟢 “Suggest 5 social media post ideas about Hostman, sorted by feasibility/effectiveness. Consider: budget up to $100, B2B engagement.” Define evaluation criteria: “Exclude ideas requiring more than 3 days to execute.” “Prioritize ideas with viral potential.” Ask for examples: “Show similar cases from the industry for the top 3 ideas.” Limit scope: “Only ideas that don’t require contractors.” “Focus on formats: guides, case studies, interactives, polls.” Request next steps: “For the best idea, outline a 3-day action plan.” 3. For Psychology and Self-Development Purpose: Scientifically grounded methods for solving personal and professional issues. Especially useful for: coaching, stress self-help, and developing emotional intelligence. Template: As a [specialist], create a [duration]-long plan for solving [problem].  Include: 1) Theoretical foundation → 2) Step-by-step techniques → 3) Self-diagnosis tools → 4) Recommended resources.  Adapted for: [audience]. Example: As an HR expert with experience in IT, design an 8-week onboarding program for a new employee at a cloud company. Include: Role introduction plan (days 1–30, broken down by week) Methods for evaluating professional skills (checklists, test tasks) Mentorship system (roles, meeting frequency, KPIs) Recommendations for integrating into corporate culture (events, company traditions) ChatGPT response: Tips: Require scientific backing: 🔴 “How to deal with anxiety?” 🟢 “Using CBT (Beck) and the ABCDE model (Ellis), propose a 4-week anxiety management plan for IT specialists. Include research on the effectiveness of these approaches.” Specify theories: “Explain burnout stages using the Maslach model (emotional exhaustion → cynicism → reduced productivity).” “For procrastination, use Piers Steel’s temporal motivation theory.” Request context adaptation: “Apply Gestalt therapy techniques to conflict situations in remote teams.” “How can the GROW model be applied to IT career coaching?” Ask for self-assessment tools: “Add a checklist for tracking progress on a 1–10 scale.” “What 3 questions can help identify the stage of stress according to Selye?” Limit complexity: “Explain terms in simple words, suitable for beginners.” “Exclude medical recommendations.” 4. For Content Strategy Purpose: Comprehensive publication planning with measurable KPIs. Ideal for: blogging, SMM, email marketing, and sales funnels. Template: As a [position], create a [time period] strategy.  Include: 1) Target personas → 2) Thematic clusters → 3) Calendar (format/KPIs) → 4) Tools. Example:  As a head of content marketing, develop a quarterly blog strategy for Hostman with KPIs focused on trial conversions. Emphasize guides about migrating from competitors. ChatGPT response: Tips: Tie it to business goals: 🔴 “Need a content plan.” 🟢 “Develop a quarterly strategy for the Hostman blog with KPI: +15% increase in trial conversions. 70% educational content, 30% case studies.” Specify success metrics: “For Facebook posts, define target metrics: CTR >3%, engagement >5%.” “Estimate potential reach for each topic.” Request cross-channel integration: “How can a guide be turned into a Facebook post series and email campaign?” “Propose a cross-promotion scheme between YouTube and the blog.” Ask for competitor analysis: “Add analysis of 2 successful strategies from competitors in the cloud segment.” “Which topics bring the highest engagement for competitors?” Limit resources: “For a 2-person team: 1 long-read per week + 3 social channels.” “Without hiring copywriters.” 5. For Working with Texts Purpose: Creating and optimizing commercial or informational materials. Fields: copywriting, SEO, technical documentation, scripts. Template: As a [role], write a [type of text] for [target audience]. Parameters: length → style → required elements → restrictions → SEO. Structure: [sections]. Example: As a technical writer, create a guide titled “Setting Up WordPress on Hostman” (1,500 words). Avoid jargon, include GIF instructions. ChatGPT response: Tips: Clearly define the text’s purpose: 🔴 “Write a text about clouds.” 🟢 “Write a commercial proposal for Hostman aimed at small businesses. Goal: conversion into demo requests.” Set style and tone: “Tone: friendly yet professional, as if explaining to a colleague.” “Avoid bureaucratic phrases; write naturally.” Add SEO parameters if needed: “Include keywords: ‘cloud hosting,’ ‘VPS for business,’ ‘reliable hosting.’ Keep keyword density natural.” “Add LSI words: ‘scalability,’ ‘data security,’ ‘uptime.’” Request examples and comparisons: “Provide 3 strong headline examples for this kind of article.” “Compare with competitor texts: what can be improved?” Limit length and complexity: “Max 1,000 words, divided into H2-H3 subheadings.” “Explain terms like ‘CDN’ in parentheses in simple words.” 6. For Programmers Purpose: Code generation and analysis with full documentation. Main uses: writing scripts, debugging, creating APIs, automating DevOps processes. Template: As a [language] developer of [X] level, write code for [task]. Input → expected output → constraints → requirements. Format: algorithm → code → tests. Example: As a senior Python developer, create a server monitoring script for Hostman with API integration and Telegram notifications. Requirements: async, logging. ChatGPT response: Tips: Specify exact versions: 🔴 “Write a backup script.” 🟢 “Write a Python (3.10+) script for daily MySQL (8.0) backups to Hostman S3. Requirements: async, file logging, Telegram error alerts.” Request explanations: “Add comments every 5 lines to clarify complex code sections.” “Explain why you chose this algorithm (e.g., QuickSort vs. MergeSort).” Require tests: “Add 3 unit tests with edge cases.” “How to test this API in Postman?” Ask for alternatives: “Show alternative solutions in Go and Rust. Compare performance.” Set constraints: “No external libraries.” “Execution time ≤100ms for 10K records.” 7. For Image Creation (DALL·E) Purpose: Precise technical specifications for neural image generation (DALL·E). Applications: ad banners, article illustrations, concept art, presentations. Template: As an art director, create a prompt: 1) Object → 2) Style → 3) Composition → 4) Color palette → 5) Lighting → 6) Restrictions. Goal: [usage]. Example: Create a prompt for a “Hostman Enterprise” banner: a cyberpunk-style server, palette #0A1640/#00C1FF, HUD elements, no people. ChatGPT response: Image generated by ChatGPT: Tips: Be extremely specific: 🔴 “Draw a cloud server.” 🟢 “Generate a 3D render of a Hostman server in blue-white tones. Style: cyberpunk with neon accents. Background: network map with nodes. Aspect ratio 16:9, no people.” Reference known styles: “In the style of the interfaces from the Foundation series.” “Like Wired magazine covers from the 2020s.” Control composition: “Main object centered, occupying 70% of the frame.” “Blurred background with depth-of-field effect.” Request variations: “Show 3 versions: minimalism, retro-futurism, and photorealism.” “Change only the palette to dark/light mode.” Technical constraints: “No text in the image.” “Resolution: 1024×1024, format: PNG.” 8. For Learning and Education Purpose: Designing educational programs using modern methodologies. Application: course creation, training materials, workshops, interactive modules. Template: As a professor of [subject], design a [number]-hour module. Include: goals → plan (theory/practice) → adaptations → glossary. Constraints: [parameters]. Example: Develop an 8-hour course “Cloud Fundamentals” for university students: lectures in Prezi, labs on Hostman, quizzes in Kahoot. ChatGPT response: Tips: Base on teaching models: 🔴 “Create a Python course.” 🟢 “Using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), create a 4-week course ‘Python for Data Analysis.’ Goal: teach students to visualize data using Matplotlib.” Define difficulty level: “For junior DevOps: basics of Kubernetes.” “For senior developers: algorithm optimization in C++.” Add interactive elements: “Include 3 simulated real-world cloud development cases.” “Propose a gamification format for a cybersecurity module.” Require practical tasks: “Design a lab exercise: deploying a web app on Hostman.” “Create a test assignment with automatic checking via GitHub Actions.” Consider technical limitations: “Course must run on low-end PCs (no Docker).” “Use only free tools (VS Code, Colab).” 9. For Business Purpose: Strategic market and process analysis. Applications: business planning, SWOT analysis, competitor research, financial modeling. Template: As a consultant from [company], conduct an analysis of [object] using the following framework:  1) Market Size → 2) PESTEL → 3) Benchmarking → 4) SWOT → 5) Forecasts. Data sources: [list of references]. Example: Analyze the European cloud gaming market: 2024 market size, PESTEL factors, comparison of NVIDIA GeForce Now / Shadow PC / Boosteroid, and projections through 2026. ChatGPT response: Tips: Be specific with goals: 🔴 “How to increase profits?” 🟢 “Develop 3 revenue growth strategies to increase a SaaS startup’s revenue by 30% within 6 months. Focus: upselling existing clients and reducing churn rate. Use the AARRR framework.” Ask for supporting data: “Analyze the European cloud services market (size, trends, competitors). Use sources such as Statista, Gartner, and official company reports.” “Calculate CAC for our current ad campaign.” Request alternative approaches: “What are the best options for entering the EU market: partnerships vs. independent launch?” “Compare investment risks for expanding VPS services versus cloud storage solutions.” Link to business processes: “How can the new product be integrated into our existing SaaS ecosystem?” Consider resource limitations: “Budget: up to €50,000, team of 5 people.” “Propose solutions that don’t require hiring additional staff.” 10. For Creativity Purpose: To generate compelling stories and concepts. Ideal for: Writers: for books and short stories; Screenwriters: for films and series; Game developers: for characters and worldbuilding; Musicians: for album or concept creation. Template: As a [profession], create a [type of work] in the [genre] style. Parameters: Characters → Setting → Conflict → Style. Format: Logline → Synopsis → Scene breakdown. Example: As a Black Mirror-style screenwriter, develop a concept for an episode about AI in 2045, exploring the theme “Privacy vs Convenience.” ChatGPT response: Tips: Be specific about genre and audience: 🔴 “Write a story about a scientist.” 🟢 “Write the first chapter of a science fiction story about a bioengineer who discovers how to edit DNA using quantum computers. Style: mix of Black Mirror and The Martian. Audience: hard sci-fi fans (ages 25–45), with emphasis on scientific realism.” Request structure: “Outline the plot using Joseph Campbell’s ‘Hero’s Journey’ model.” “Create a dialogue example with subtext (in the style of Aaron Sorkin).” Ask for visualization: “Describe a key cinematic shot for a poster in the style of Blade Runner.” “Which color palette best conveys the atmosphere?” Avoid clichés: “Exclude tropes like ‘the chosen one’ or ‘evil AI.’” “Suggest three unexpected plot twists.” Consider technical constraints: “Script for a 10-minute short film (maximum 5 locations).” “Concept for a mobile game with simple gameplay.” Combined Prompt Example The prompt templates presented above cover most professional user tasks. For maximum efficiency, you can combine them, for example: analysis (section 1) + text generation (section 5) + visualization (section 7). Example prompt Act as both an IT analyst and a digital marketer. I need a comprehensive comparison of cloud hosting platforms (AWS, Google Cloud, and Hostman) with materials ready for publication. Perform the following tasks sequentially: 1. Conduct a detailed analysis: Compare by: cost per vCPU, SSD size, network bandwidth, SLA uptime. Present results in a table with columns: “Feature,” “AWS,” “Google Cloud,” “Hostman.” Conclude with a recommendation for a startup with a $50/month budget. 2. Write an SEO article based on the analysis: Title: “AWS vs Google Cloud vs Hostman: An Objective Comparison for 2025.” Length: 2,000 words. Structure: Introduction (importance of choosing the right provider); Methodology; In-depth review of each provider; Summary table (from step 1); Recommendations for different use cases. Tone: Expert but accessible; Keywords: “cloud hosting,” “VPS comparison,” “Hostman review.” 3. Create visualization prompts (for DALL·E or Midjourney): Style: Corporate infographic (blue and white color palette). Elements: 3D servers with provider logos; Comparative performance and pricing charts; “Price/Performance” scale; Minimalist background with digital accents. Formats: Article cover, comparative infographic, architecture diagram. 4. Additional tasks: Suggest 3 social media posts based on the article. Format: “Did you know that…” + key takeaway + infographic. Platforms: LinkedIn, Reddit. Ensure all data is consistent across text and visuals. Numbers in the text must match tables and charts. Use professional terminology, but explain complex terms for beginners. ChatGPT response: This prompt structure provides: A unified request instead of multiple separate ones; Logical flow: analysis → writing → visuals → promotion; Consistent data across all materials; Publication-ready results. For even higher precision, you can add: “Before starting, ask 3 clarifying questions to better define the task.” This approach helps the AI better understand the project and deliver higher-quality results. Key Takeaways In this article, we explored what prompts are and how to craft them effectively, showcasing 10 universal examples across different categories. A prompt is a text instruction you send to ChatGPT to get a desired response. The clearer and more detailed the prompt, the more accurate and useful the result. Core principles of effective prompting: Clarity and detail (including timeframes, parameters, and constraints); Specify the response format (table, list, step-by-step guide); Add context (AI role, complexity level, target audience); Include examples and analogies for clarity; Note technical requirements (length, tone, restricted elements). Common mistakes: Overly vague prompts (“Write something”); No structure or logic; Ignoring context (missing role or audience); Overcomplicating with conflicting details; Poor clarification (missing data or specific names). Improvement tips: Start broad, then refine details step by step; Save successful prompts as templates; Request data sources for analytical tasks; Use iterations: “Add to the previous answer…” Additional recommendations: For creative work, include stylistic references; For technical tasks, specify software versions or languages; For business analysis, ask for alternative scenarios; Always verify critical data. ChatGPT is a tool, not a substitute for expertise. Save the templates from this guide as a quick-reference list and adapt them over time to fit your workflow. By mastering the art of crafting effective prompts, you’ll unlock ChatGPT’s full potential, transforming it into a personal assistant for work, creativity, and learning. Experiment with phrasing, analyze results, and refine your prompts: that’s how you’ll make AI a truly powerful tool in your toolkit.

OpenAI’s developments are undoubtedly among the best in the generative neural network market. This applies not only to ChatGPT, which generates text, but also to DALL-E, which generates images, and Sora, which generates video. However, there are many other equally effective ChatGPT alternatives, including free ones. This article focuses on them. How to Choose a ChatGPT Alternative It is worth highlighting several general parameters that allow you to clearly see the differences between existing large language model (LLM) platforms: In-depth reasoning: Support for a "Reasoning" or "Deep Thinking" feature, which improves answer accuracy. Interactive interaction: Support for a "Canvas" mode that makes working with content more interactive. Image analysis: Ability to analyze image files. Video analysis: Ability to analyze video files or links. Audio analysis: Ability to analyze audio files with speech or music. Document analysis: Ability to analyze documents in various formats, such as PDF or DOCX. Image generation: Ability to generate images, either using an internal or external model. Video generation: Ability to generate video, usually requiring a separate model. Audio generation: Ability to generate audio, in the form of speech or music. For example, for ChatGPT, depending on the subscription plan, these parameters look as follows: Feature Free Plan Paid Plans In-depth reasoning Yes Yes Interactive interaction Yes Yes Image analysis Yes Yes Video analysis No No Audio analysis No No Document analysis Yes Yes Image generation Yes Yes Video generation No Yes Audio generation Yes Yes Thus, any ChatGPT alternative can be evaluated through the lens of these parameters. 1. Gemini Gemini is a neural network created by Google in 2023. Platform: Gemini Models: Gemini Flash, Imagen, Veo Release: March 21, 2023 Developer: Google DeepMind Country: USA Capabilities The Gemini Flash language model is integrated with two other Google models: Imagen for image generation and Veo for video generation. This allows users to create images and videos directly within the Gemini chat; the results appear in the dialog window, similar to text. Additionally, Gemini is tightly connected with Google’s ecosystem, including browser and mobile applications like Gmail, Google Docs, Google Lens, and more. The experimental Canvas feature enables more interactive model interaction: editing responses, changing tone and length, refining details, and executing code. Feature Free Plan Paid Plans In-depth reasoning Yes Yes Interactive interaction Yes Yes Image analysis Yes Yes Video analysis Yes Yes Audio analysis Yes Yes Document analysis Yes Yes Image generation Yes Yes Video generation No Yes Audio generation No No Pricing Gemini Basic: Free. Provides access to basic Gemini models without deep Google ecosystem integration. Sufficient for most standard tasks. A decent free alternative to ChatGPT. Gemini Advanced: From $20/month. Provides access to the most powerful Gemini models (including experimental ones) with an extended context window for processing large volumes of information—up to 1 million tokens. 2. Claude Claude is a neural network created by Anthropic in 2023. Platform: Claude Models: Claude Release: March 14, 2023 Developer: Anthropic Country: USA Capabilities Claude’s abilities are standard for most platforms using large generative models and it can be considered as one of the best ChatGPT alternatives. However, all of Claude’s functionality is only available via a paid subscription. Unlike other platforms, it is nearly impossible to use Claude effectively for free due to numerous limitations. Feature Free Plan Paid Plans In-depth reasoning No Yes Interactive interaction No Yes Image analysis Yes Yes Video analysis No No Audio analysis No No Document analysis Yes Yes Image generation No No Video generation No No Audio generation No No Pricing Free: Limited token count, enough for 5–10 queries per day. Reduced limits, no external search, no reasoning mode, no integration with external tools. Pro: From $15/month. Increased limits, unlimited projects, external search, advanced reasoning, Google Workspace integration, and access to more Claude models. Max: From $90/month. Increased limits (up to 20x Pro), enhanced external search, access to the Claude Code agent tool, reasoning mode, early access to new features, priority request processing, and external tool integration. 3. Grok Grok is a neural network created by xAI in 2023. Platform: Grok Models: Grok, Aurora Release: November 3, 2023 Developer: xAI Country: USA Capabilities  In addition to the standard query mode, Grok offers specialized modes for specific tasks: Think: Grok spends a few seconds to minutes analyzing a query and provides a precise answer. Ideal for math, philosophy, strategy, coding, and architecture tasks. Relies solely on internal model knowledge. DeepSearch: Uses intelligent agents to search external sources for current information. Suitable for fast-changing topics like news, trends, publications, and events. DeeperSearch: An advanced version of DeepSearch, spending more time analyzing fewer sources but collecting information more thoroughly. Ideal for very narrow queries but may miss key details or focus on irrelevant sources. Grok is deeply integrated with the X platform (formerly Twitter), acting as an AI assistant and enhancing platform functionality: Grok is embedded in X’s interface: users can ask questions, analyze posts, and generate content. Grok analyzes public posts in real-time to provide up-to-date information on news, trends, and public opinion. Grok is trained on X data using xAI’s Colossus supercomputer. The Aurora model integrated into Grok allows generating photorealistic images directly within the chat. Grok also works without authorization, though dialogues are not saved in history in that mode. Feature Free Plan Paid Plans In-depth reasoning Yes Yes Interactive interaction Yes Yes Image analysis Yes Yes Video analysis No No Audio analysis No No Document analysis Yes Yes Image generation Yes Yes Video generation No No Audio generation No No Pricing Grok Basic: Free. Limited queries and images every 2 hours (exact numbers not disclosed), limited access to Thinking, DeepSearch, and DeeperSearch modes, and a limited context window. SuperGrok: From $30/month. 100 queries and images every 2 hours, 30 queries for Thinking, DeepSearch, and DeeperSearch each every 2 hours, extended context window. 4. Qwen Qwen is a neural network created by Alibaba in 2023. Platform: Qwen Models: Qwen Release: August 25, 2023 Developer: Alibaba Country: China Capabilities The Qwen‑Turbo model available on paid plans features a record-long context—up to 1,000,000 tokens. All Qwen models are multimodal, capable of processing text, images, video, and audio as input and output. Qwen’s main strength is its ability to work with a wide variety of multimedia content. Feature Free Plan Paid Plans In-depth reasoning Yes Yes Interactive interaction Yes Yes Image analysis Yes Yes Video analysis Yes Yes Audio analysis Yes Yes Document analysis Yes Yes Image generation Yes Yes Video generation Yes Yes Audio generation Yes Yes Pricing Qwen Basic: Free trial access, 1 million tokens per basic model for 180 days. Qwen Max / Plus / Turbo: Pay-as-you-go via Alibaba Cloud Model Studio. Three models differ in maximum context, quality, and generation speed. Model Context Quality Speed Input Cost Output Cost Qwen-Max 30,000 tokens High Slow $1.6/million tokens $6.4/million tokens Qwen-Plus 130,000 tokens Medium Medium $0.4/million tokens $1.2/million tokens Qwen-Turbo 1,000,000 tokens Low Fast $0.05/million tokens $0.2/million tokens 5. Mistral Mistral is a neural network created by Mistral AI in 2023. Platform: Le Chat Models: Mistral, Flux Release: September 27, 2023 Developer: Mistral AI Country: France Capabilities The first thing that stands out is how fast Mistral generates responses. No other model matches this speed. In this aspect, you could say that Mistral is better than ChatGPT. Additionally, the smooth animation of messages appearing in the chat window provides a genuinely pleasant user experience. Despite the high speed, Mistral’s responses are accurate and relevant, containing only key information without unnecessary filler. Mistral does not allow manually enabling a deep reasoning mode with access to external sources. Instead, the neural network automatically gathers information from the Internet when it deems necessary. In this sense, Mistral works “out of the box”—no additional settings are required. The user writes a query and receives a response almost instantly. For image generation, Mistral uses the Flux model from a third-party developer, Black Forest Labs. Feature Free Plan Paid Plans In-depth reasoning No No Interactive interaction Yes Yes Image analysis Yes Yes Video analysis No No Audio analysis No No Document analysis Yes Yes Image generation Yes Yes Video generation No No Audio generation No No Pricing Free: Access to the latest advanced Mistral models, data collection from external sources, file upload, advanced data analysis, image generation, and fast responses. Pro: From $14/month. Unlimited high-performance Mistral model, unlimited daily messages, advanced external data collection, advanced image generation, and extended fast response limits. Team: From $24/month. Advanced generation and data collection capabilities, centralized management and administration, and a dedicated support channel from Mistral AI. 6. DeepSeek DeepSeek is a neural network created by High-Flyer in 2023. Platform: DeepSeek Models: DeepSeek Release: November 2, 2023 Developer: High-Flyer Country: China Capabilities DeepSeek provides unlimited functionality completely free of charge, reserving the right to charge only for API usage. However, DeepSeek lacks extensive multimodal capabilities: it does not generate images, video, or audio, though it can analyze images and documents. It also does not have a Canvas-like tool for interactive work with responses (and code), common in many LLM platforms. Nevertheless, DeepSeek has standard reasoning (DeepThink) and search (Search) functions. Feature Free Plan Paid Plans In-depth reasoning Yes Yes Interactive interaction No No Image analysis Yes Yes Video analysis No No Audio analysis No No Document analysis Yes Yes Image generation No No Video generation No No Audio generation No No Pricing Browser Access: Free. Normal mode (deepseek-chat) has no limits; DeepThink mode (deepseek-reasoner) allows up to 50 messages per session. API Access: Pay-per-token for input and output; necessary only for API usage. Pricing varies by mode. Mode 1M Tokens Input 1M Tokens Output deepseek-chat $0.27 $1.10 deepseek-reasoner $0.55 $2.19 7. Reka Reka is a neural network created by Reka AI in 2024. Platform: Reka Models: Reka Release: April 18, 2024 Developer: Reka AI Country: USA Capabilities Reka can feel somewhat rough: it occasionally misinterprets context and incorrectly analyzes provided documents and media files. However, for text generation or open-source information retrieval, the model performs reasonably well. Reka’s chat includes integrated agents: Reka Vision Agent: Analyzes images. Reka Research Agent: Searches for information in open sources. Reka Speech Agent: Translates and transcribes audio in real time; a demo version is available. Reka’s main feature is the interactive Space, where texts and images can be placed. While most people interact with LLMs through standard chat, the interactive space adds visual clarity during text generation. Feature Free Plan Paid Plans In-depth reasoning Yes Yes Interactive interaction Yes Yes Image analysis Yes Yes Video analysis Yes Yes Audio analysis Yes Yes Document analysis No No Image generation No No Video generation No No Audio generation No No Pricing Browser Access: Free. Standard capabilities with no restrictions. API Access: Pay-per-token. Three model versions available in ascending power: Spark, Flash, and Core. Version Cost per 1M Input Tokens Cost per 1M Output Tokens Reka Spark $0.05 $0.05 Reka Flash $0.8 $2 Reka Core $2 $6 8. ChatGLM ChatGLM is a neural network created by Zhipu AI in 2023. Platform: ChatGLM Models: ChatGLM, CogView, Ying Release: March 13, 2023 Developer: Zhipu AI Country: China Capabilities In addition to image and document analysis, ChatGLM can generate images with CogView and videos with Ying. Audio transcription and analysis is handled by ChatGLM Voice. Special functions for media work are provided in dedicated chats. Otherwise, ChatGLM functions similarly to other neural networks. Feature Free Plan Paid Plans In-depth reasoning Yes Yes Interactive interaction No No Image analysis Yes Yes Video analysis No Yes Audio analysis No Yes Document analysis Yes Yes Image generation No Yes Video generation No Yes Audio generation No Yes Pricing Trial: Free. Upon initial registration, 1,000,000 tokens for 30 days; after identity verification, an additional 4,000,000 tokens for 30 days. Uses the lightweight ChatGLM Flash model. Paid: Pay-as-you-go. Full multimodal and generative capabilities, with four model versions in ascending power: Lite, Turbo, Std, and Pro. Version Cost per 1M Tokens ChatGLM Lite $0.28 ChatGLM Turbo $0.69 ChatGLM Std $0.69 ChatGLM Pro $1.39 Aggregator Platforms / Intermediaries There is a separate category of content generation platforms, acting as intermediaries or aggregators. Essentially, they are standard chatbots but rely on third-party models mentioned above. Platform Models Release Developer Country Microsoft Copilot GPT Feb 7, 2023 Microsoft USA You.com GPT Nov 9, 2021 YouChat USA Poe GPT, o, Claude, Llama, Gemini, Mistral, Qwen, DeepSeek Dec 21, 2022 Poe USA HuggingChat Llama, DeepSeek, Mistral, Qwen, C4AI Apr 25, 2023 Hugging Face USA Nova GPT, Gemini, Claude, DeepSeek Dec 3, 2024 HUBX USA Duck.ai GPT, o, Llama, Claude, Mistral Mar 10, 2025 DuckDuckGO USA This category also includes specialized external search services using intelligent agents to collect information. They also use third-party generative models, most often OpenAI GPT. Platform Models Release Developer Country Perplexity GPT Dec 7, 2022 Perplexity AI USA Andi GPT Jan 26, 2023 Andi USA Phind Llama Feb 23, 2023 Phind USA How to Choose a Platform AI benchmarks show significant differences in task performance for each model, but these reflect controlled “lab” conditions. In typical tasks, the differences are less noticeable, though they exist. Pricing structures are similar: basic functionality is free, enhanced features require payment, often on a pay-per-token basis. Some platforms are multimodal: they can generate text, images, video, and audio. Others can analyze multimedia data, but only generate text. When looking for an AI tool like ChatGPT, it makes sense to test several platforms for a given task and then select one or two. Suggested approach: Define requirements clearly. Identify key requirements based on the project and its tasks. Evaluate core platform parameters. Compare the requirements against the platform’s capabilities, especially generative features and ecosystem integration. Compare platforms. Select the most suitable platforms based on how well their characteristics align with project needs. Test selected platforms. Evaluate performance in real tasks to determine the best fit. Choose the most suitable platform. You don’t have to pick only one. Keep a couple of backups for tasks where they might outperform the main platform.

In mid-2025, Google introduced the third version of its proprietary video generator: Veo. The new model not only creates high-quality visuals but also provides realistic audio tracks, including environmental sounds and character dialogues. In a sense, Google has created something entirely new—something revolutionary—a technology capable of making a quantum leap in video generation. Thanks to this, distinguishing real videos from AI-generated ones will soon become much more difficult. That’s why it’s important to understand what the new Veo 3 neural network is and which special tools Google provides for working with it. Let’s explore this in detail. What Is Google Veo 3 Google Veo is a generative model for creating videos, developed and released by Google in mid-2024. Its main innovation is the native ability to generate audio: sound effects, background music, and dialogues synchronized with lip movements. A frame from one of the official videos generated using Google Veo 3 The audio track of generated videos automatically adapts to the context of the scene, adding appropriate effects as needed: natural sounds, urban ambiance, musical accompaniment, and even human speech with dialects and accents specific to the characters. Thus, the Veo 3 artificial intelligence combines high-quality visuals, realistic physics, and synchronized audio. Features of Veo 3 The updated Veo 3 model has a number of features that distinguish it from other AI video generation services: Longer duration. The duration of generated videos can exceed the standard five seconds common for many AI video generators. The maximum video length is eight seconds. Synchronized audio support. Video is accompanied by environmental sounds, music, and speech, all realistically synchronized with the visuals. Physical accuracy. Hyper-realistic motion of objects, materials, characters, and light throughout the video. This combination of exceptional characteristics makes Google Veo 3 an ideal tool for generating cinematic, animated, or any other videos with high visual dynamics and deep storylines. Thanks to these features, Veo 3 can already be used in professional settings: for UGC content (for example, YouTube), short ads, or even full-length films. Another frame from one of the official videos generated using Google Veo 3 For instance, filmmaker Dave Clark has already used Veo 2 and Veo 3 in several of his short films. Another director, June Lau, also places great hopes on Google’s cutting-edge model, using Veo 3 to create a short film titled Dear Strangers. Filmmaker Yonatan Dor created his own short film, The History of Influencers, using Veo 3, featuring fictional influencers from different eras. In general, the number of directors and artists integrating Google’s AI tools into their content creation process is growing rapidly. However, it’s worth noting that Veo 3 is still not enough to create a full-fledged movie; it serves best as an auxiliary tool. Capabilities of Veo 3 The new version of Veo includes several ways to generate video using different types of input data: Text-to-video. The primary method of video generation in Veo 3 is based on a detailed (preferably very detailed) text description. Image-to-video. Veo 3 can generate videos based on text or images. Moreover, any image used as input can be enhanced with a textual description that clarifies the scene’s behavior. Video-to-video. Using additional tools (Flow), users can upload existing videos and apply modifications with Veo 3: adding or removing objects, changing visual styles, adjusting camera behavior, editing object movement, and their accompanying sounds. As previously noted, Veo 3 videos integrate all attributes of traditional, non-computer-generated footage. The standard output resolution is 720p, but the upscaling feature allows increasing it up to 4K. Veo 3 Tools It’s important to note that Veo 3 cannot be used “as is”—additional Google tools are required. Flow Google offers a special tool that combines Veo (video), Imagen (images), and Gemini (text) models in a single director-style interface called Flow. Essentially, it’s Google’s central content creation platform. With Flow, users can precisely edit videos: extend frames, add new details, animate specific elements, adjust camera movement, store styles, and more. This editor is ideal for solo and manual work as it allows quick creation of short clips with instant preview and fine-tuning. Everything happens in a single window. At the same time, Flow requires minimal technical setup: no cloud account, billing, or SDK is needed; video generation happens directly within the visual interface. Demonstration of the Flow graphical interface at the Google I/O 2025 presentation (Kerry Wan/ZDNET) Gemini With the Gemini LLM neural network, users can generate precise prompts for video generation via Flow. In simple terms, Gemini serves as a converter that transforms more human-style text descriptions into more machine-readable ones, though both are still in natural language and easy to understand. For example, you can find an image online or generate one using another AI tool (e.g., Midjourney), attach it to a message in the Gemini chatbot (or any other LLM), and provide an additional description: “I need precise prompt is needed for Google Veo 3 to generate a short video from this image, where three men are pushing a banana-shaped car with a driver at the wheel, and as the car gains speed, it gradually turns yellow.” Gemini will then generate a complete prompt for video generation and include explanatory comments, for example: “A vintage car, half-peeled banana, driven by a man in a hat, is being pushed by three other men from behind. The car is initially in black and white, but as it gains momentum and the men push harder, the banana part of the car gradually becomes fully ripe yellow. The background shows a field with trees in the distance, also in black and white. Dynamic camera movement, tracking the car as it accelerates.” This way, you can generate a video based on a reference image by following a simple sequence of steps: Generate a prompt for image generation using an LLM (based on a description). Generate the image (based on the prompt). Generate a prompt for video generation (based on the description and image). Generate the video (based on the prompt). Alternatively, you can use a ready-made reference image from the Internet: Generate a prompt for video generation (based on the description and image). Generate the video (based on the prompt). In a simplified version, you can also generate a video without using any reference images: Generate a prompt for video generation (based on the description). Generate the video (based on the prompt). Or, you can manually write the prompt for video generation from scratch :) Nevertheless, Gemini (naturally, in paid tiers) also allows generating videos using Veo 3. However, in most cases, Flow is used for video creation as it’s more convenient and visually intuitive. After all, Gemini is primarily designed for working with text rather than video. Vertex AI The Vertex AI platform represents an enterprise solution for large-scale cloud-based content generation and asset storage, that is, various media files needed for creating images and videos. In essence, it’s a fully managed platform for developing, training, deploying, and maintaining AI models. It brings together all the tools needed for every stage of the machine learning cycle, from data preparation to model performance monitoring. Thus: Flow provides a convenient and visual approach. Gemini delivers accurate and relevant prompts. Vertex AI ensures a reliable and scalable infrastructure. Together, they turn Veo 3 from an experimental service into a professional tool capable of solving real-world challenges across a wide variety of projects. How to Use Veo 3: Step-by-Step Guide After understanding the main tools, we can now look at how to generate a video using Veo 3. First of all, it’s important to note that to use Google Veo 3, you must have one of Google AI’s paid subscriptions: Google AI Pro. Expands the basic functionality of Google’s AI tools. Starting at $19 per month. Google AI Ultra. Offers maximum, virtually unlimited content-generation capabilities. Starting at $249 per month. There’s no other official way to use Veo 3 within the Google ecosystem. A paid subscription is required. The only exceptions are third-party intermediary services or Telegram bots that provide Veo 3 video generation on a pay-per-video basis. Another important detail: the Flow editor is only available in English. Moreover, prompts for Veo 3 must be written in English. The only exception is dialogue lines: they can be written in any other language, and Veo 3 will perfectly reproduce the described characters’ dialects. Such a level of synchronization between sound and video, with extraordinary precision, amazes (and sometimes even frightens) people well-acquainted with modern technology. Working with such a powerful generative model usually requires additional tools for convenient use. Therefore, Google offers several ways to interact with Veo 3, differing in their complexity. Using Flow Flow allows you to create scenes, control camera movement, manage assets, and edit clips, all without third-party tools. Essentially, it’s an intuitive visual editor for creating videos with Veo 3. Using it is simple: Sign in. On the Flow homepage, log in with your Google account. Create a project. Click the New project button. A page will open where you can enter a text prompt describing the desired video and its audio track. Choose input type. On the prompt input page, select the source type for your video: Text to Video, Frames to Video, or Ingredients to Video. Choosing the latter two enables extra settings for camera behavior and frame composition. Configure settings. On the same page, you can set generation parameters: the number of variants per prompt (1–4) and the model used (Veo 2 Fast, Veo 2 Quality, Veo 3 Highest Quality). Depending on the settings, each generation consumes 10–100 Flow credits. Enter the prompt. Type your text prompt in the input field. Generate. After entering the prompt, click the arrow button and wait 2–7 minutes. The generated videos and prompts will appear in the request history above the input field. This is Flow’s basic functionality. In many ways, it resembles LLM chatbots, only instead of text, it produces video. Naturally, Flow also includes advanced tools for composing and editing video clips. Using Gemini To generate a video directly in the Gemini chatbot, follow these simple steps: Sign in. Log in to Gemini with your Google account. After successful sign-in, the chat interface opens. Activate video mode. Click the Video button next to the message input field to switch to video generation mode. This button is only available to users with a paid plan. Enter the prompt. In the input field, describe the desired video in detail: environment, characters, lighting, camera behavior, style, and other details. Generate. Click the arrow button or press Enter. The generation process takes 2–7 minutes, and the finished video will appear directly in the chat window. Thus, Gemini unifies the generation of text (Gemini), images (Imagen), and video (Veo) in a single interface, which is quite convenient. Of course, Gemini alone isn’t enough for professional video work—you’ll also need Flow and dedicated video-editing software. However, for presentations or idea visualization, Gemini is more than sufficient. Using Vertex AI Another way to use the Veo 3 model is through Vertex AI. Unlike Flow, which is built for creative work, Vertex AI is designed for professional, large-scale, and automated content creation. Here’s a short sequence for generating videos with Vertex AI: Sign in. Log in to Google Cloud Console with your Google account, then navigate to the Vertex AI section. Open Media Studio. From the left sidebar, select Media Studio, and the page for choosing media generation models will open. Choose Veo. Enter the prompt. On the next page, enter the text description of your video and configure the main parameters. Generate. Click Generate and wait a few minutes for the video to appear in the interface. Vertex AI provides distributed computing, cost monitoring, asset storage, and ML-process management, all centralized in Google Cloud. Thanks to the REST API, the platform also allows programmatically launching hundreds of video generations, integrating Veo 3 into third-party applications. Pros and Cons of Veo 3 Google Veo 3 opens new horizons for automated video production, combining advanced audio generation with high-quality visualization. Understanding its strengths and weaknesses helps identify optimal use cases. Advantages: Visual and physical realism. Beyond realistic lighting, shadows, textures, and details, the model simulates accurate physical behavior of objects, substances, and characters. Audio-video synchronization. Native audio generation (sound effects, music, dialogues) is tightly synchronized with the visuals. Advanced prompt interpretation. Deep understanding of complex queries: mood, style, camera perspective (panning, zoom). Extensive creative control enables frame-to-frame consistency, maintaining stable characters and environments across angles. Extended toolset. Integration with tools like Flow, Vertex AI, and Gemini provides a unified environment for generation, editing, and scene management. Disadvantages: Limited duration. The maximum video length (8 seconds at 24 fps) is independent of resolution. This is still short for production-scale work. Synchronization artifacts. While lip-sync accuracy is high, minor artifacts can appear, especially with background characters (unnatural lip movement or blurring). Small body parts like hands, elbows, or feet may occasionally deform. Prompt interpretation errors. The model sometimes overlooks details, misreads subtle emotions, or ignores secondary characters. High cost. Subscription plans are expensive, mostly suitable for professional studios but less accessible for students, freelancers, or solo creators. AI watermarking. Every video carries an invisible SynthID marker that can be detected via a special app. Misinformation risks. The exceptional realism of Veo 3 could enable convincing deepfakes or spread fake news, raising ethical concerns. Although Veo 3’s strengths outweigh its drawbacks, it can’t yet fully replace traditional video production. Still, it can easily serve as a powerful supplementary tool alongside classic video and graphics software. Conclusion It’s safe to say that Google Veo 3 is an innovative model that elevates AI-driven video generation to an astonishing new level. It combines realistic graphics, precise audio synchronization, and a robust physics engine. The generated videos are so realistic and coherent that untrained viewers may not notice they’re artificial—and sometimes can’t tell at all. The new version is perfect for those who need fast, high-quality short clips, from marketers and content creators to artists and filmmakers.