| If you want to... | You need a... | Popular Examples | | :--- | :--- | :--- | | | Large Language Model (LLM) | GPT-4o, Claude 3.5, Gemini, Llama 3, Mistral | | Generate images from text | Text-to-Image Model | Stable Diffusion, DALL-E 3, Midjourney, Flux | | Turn text into speech or music | Audio/Generative Model | ElevenLabs, Suno, Bark, Whisper (for STT) | | Find patterns or classify data | Embedding / Encoder Model | BERT, SBERT, CLIP (for images+text) | Pro Tip: 90% of beginners actually want an LLM. If you need to "chat with a document" or "write an email," start there. Step 2: The 5 Key Trade-offs (No model is "best") Every model makes sacrifices. Here is how to decide based on your constraints:
This guide cuts through the noise. Below, you'll find a simple, actionable framework to answer one question: Step 1: Understand the 3 Major "Model Families" Before comparing specific names, know the type of model you need. modelsintro.com
Do you need to run the model on your own computer (privacy/offline)? │ ├─ YES → Can your GPU fit >16GB VRAM? │ │ │ ├─ YES → Use Llama 3.1 70B (or Mixtral 8x22B) │ └─ NO → Use Llama 3.1 8B, Phi-3-mini, or Gemma 2 9B │ └─ NO → Use a cloud API. What's your budget per million tokens? │ ├─ <$0.30 → Gemini 1.5 Flash, Claude Haiku, GPT-4o-mini ├─ $2-5 → GPT-4o, Claude 3.5 Sonnet (best for reasoning) └─ $10+ → GPT-4 Turbo, Claude Opus (only for legal/medical) Based on common tasks our readers ask about: | If you want to
Since I don’t have access to the exact existing content on your site, I’ve created a style article. It assumes your audience is developers, students, or AI enthusiasts looking for clear, structured comparisons. If you need to "chat with a document"