Today, AI is eating the world! Everyone is talking about AI. As a user or developer, there are many options available when it comes to choosing an AI model. But how do you make a decision? This article breakdown some of the pros and cons of these models and explains which model is the best for you.
🔤 TEXT GENERATION MODELS (LLMs)
🏆 Best for general-purpose language tasks: GPT-4o (OpenAI)
Large Language Models (LLMs) are the backbone of AI for tasks like writing, answering questions, summarizing content, translating, and chatting. The current leaders vary by speed, cost, safety, context length, and capabilities.
📝 Model Descriptions
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GPT-4o (OpenAI): A fast, multimodal model supporting text, image, and audio. Delivers strong performance in writing, reasoning, coding, and chat tasks. Available in ChatGPT Plus.
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Claude 3 (Anthropic): Exceptional long-context model (up to 200K tokens), excels at deep reasoning, analysis, and ethical safety. Comes in three tiers: Haiku, Sonnet, and Opus.
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Gemini 1.5 Pro (Google): Designed for complex tasks and integrated tightly with Google Workspace. Multimodal and capable of very long conversations and context.
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LLaMA 3 (Meta): Open-source models (8B and 70B parameters). Popular with developers and researchers for their flexibility and customization.
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Mistral / Mixtral (Mistral AI): Lightweight, open models optimized for performance and speed. Mixtral is a sparse Mixture of Experts model.
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Command R+ (Cohere): Built for retrieval-augmented generation (RAG), great for building enterprise assistants that pull in data from external sources.
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Yi 1.5 (01.AI): An open bilingual model (Chinese + English), performs strongly in multilingual tasks and research settings.
📊 Comparison Table
| Model |
Pricing |
Pros |
Cons |
| GPT-4o |
$20/mo (ChatGPT Plus) |
Multimodal, fast, versatile, integrated tools |
Closed-source, limited custom tuning |
| Claude 3 |
Free (Sonnet); Opus on $20/mo |
Long memory, logical, safe |
No plugins, Opus paywalled |
| Gemini 1.5 |
$19.99/mo (Google One AI) |
Integrated with Google Docs, long context |
UI not as polished |
| LLaMA 3 |
Free |
Open-source, customizable |
Requires technical setup |
| Mistral / Mixtral |
Free |
Efficient, fast, community supported |
Less nuanced generation |
| Command R+ |
Paid API |
RAG optimized, reliable API |
No UI or public chatbot |
| Yi 1.5 |
Free |
Bilingual, high-quality open model |
Smaller ecosystem |
👨💻 AI FOR CODE GENERATION
🏆 Best for real-time programming help: GitHub Copilot
Code-focused models help developers write functions, generate boilerplate code, fix bugs, and even write unit tests. Whether you need AI in your IDE or an open-source base model, there are options.
📝 Model Descriptions
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GitHub Copilot: A cloud-based AI assistant that works inside IDEs like VS Code, powered by OpenAI Codex/GPT. Suggests code, comments, and tests in real-time.
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Code LLaMA: A variant of Meta’s LLaMA models fine-tuned for code generation and understanding. Good for Python, C++, and JavaScript.
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DeepSeek Coder: A powerful open-source code LLM with great reasoning ability, often used in competitive programming.
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StarCoder2 (BigCode): Trained on permissively licensed GitHub data. Transparent and ethically trained for open use.
📊 Comparison Table
| Model |
Pricing |
Pros |
Cons |
| GitHub Copilot |
$10–$19/mo |
Works in IDEs, autocompletes smartly |
Needs internet, no deep reasoning |
| Code LLaMA |
Free |
Open, performs well on structured code |
Not integrated with IDEs |
| DeepSeek Coder |
Free |
High reasoning, diverse code tasks |
Low brand awareness |
| StarCoder2 |
Free |
Transparent licensing, many languages |
Lacks UX/tools |
🖼️ IMAGE GENERATION MODELS
🏆 Best for creative, artistic images: Midjourney v6
Text-to-image models generate high-quality, photorealistic, or stylized images for branding, design, ads, and storytelling. Different models offer unique styles and strengths.
📝 Model Descriptions
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DALL·E 3: Built into ChatGPT, with inpainting support. Ideal for coherent images with fine detail, and safe for commercial use.
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Midjourney v6: A community favorite for artistic and surreal images. Great for concept art, fantasy scenes, and branding.
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Stable Diffusion XL: Fully open-source, used in many custom apps. Offers the most customization options.
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Ideogram: Excellent for rendering readable text in images—great for logos, posters, or social content.
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Adobe Firefly: AI image generation trained on commercially safe data. Best for professional and brand-friendly visuals.
📊 Comparison Table
| Model |
Pricing |
Pros |
Cons |
| DALL·E 3 |
$20/mo (ChatGPT Plus) |
Safe, editable, easy |
Limited artistic freedom |
| Midjourney v6 |
$10–$60/mo |
Gorgeous styles, active community |
Discord-only, no inpainting |
| Stable Diffusion XL |
Free |
Fully customizable, offline use |
Requires local setup, GPU |
| Ideogram |
Free |
Best at text-in-image, modern UI |
Limited aesthetic diversity |
| Adobe Firefly |
Creative Cloud ($20.99+/mo) |
Commercial-safe, Adobe-integrated |
Paid subscription required |
🎥 VIDEO GENERATION MODELS
🏆 Best for realism and innovation: Sora (OpenAI)
AI video tools turn text into motion. Use them for marketing, prototyping, storytelling, and creative projects.
📝 Model Descriptions
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Sora (OpenAI): The most advanced AI video model yet—creates realistic, coherent videos from text prompts. Not yet publicly available.
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Runway Gen-3: Known for its cinematic, stylized outputs and editing capabilities.
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Pika Labs: A browser-based tool to generate short clips with animation or transitions.
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Dream Machine (Luma AI): Focuses on motion realism and object consistency.
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Synthesia: Corporate-friendly avatar videos for training, onboarding, and narration.
📊 Comparison Table
| Model |
Pricing |
Pros |
Cons |
| Sora |
N/A |
Realistic motion, long clips |
Not released publicly |
| Runway Gen-3 |
From $12/mo |
Stylized, creative control |
Not true-to-life visuals |
| Pika Labs |
Free/Paid |
Easy to use, short-form focus |
Limited resolution |
| Dream Machine |
Free (early access) |
Realistic camera and motion |
Limited output length |
| Synthesia |
From $30/mo |
Easy corporate video generation |
Less cinematic style |
🎵 MUSIC GENERATION MODELS
🏆 Best for full song creation: Suno v3
These models can generate instrumental tracks, vocals, lyrics, or even entire songs. Perfect for content creators, indie artists, and marketers.
📝 Model Descriptions
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Suno v3: Generates full songs—verses, choruses, vocals, and instruments. Easy for anyone to use.
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Udio: Offers high-quality tracks with editing capabilities and genre control.
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MusicLM (Google): Google's experimental text-to-music generator. Not widely available.
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Riffusion: Generates sound via spectrogram diffusion. Best for experimental audio.
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Voicebox (Meta): AI for voice synthesis and singing, currently in research phase.
📊 Comparison Table
| Model |
Pricing |
Pros |
Cons |
| Suno v3 |
Free + Paid plans |
Full songs, fast and fun |
Sometimes random lyrics |
| Udio |
Free + Pro |
High sound quality, editable |
Genre limits at times |
| MusicLM |
Not released |
Rich music-text control |
Experimental only |
| Riffusion |
Free |
Open-source, creative sounds |
Lo-fi, not mainstream |
| Voicebox |
Not available |
Natural voice/audio |
Research-only access |
SUMMARY OF AI MODELS
This article compares various models available for generating text, images, and code. I hope you enjoyed it. Please share your feedback in the comments below.