Choosing the right AI model is crucial for your project's success. Today, there are over 170 models from dozens of providers. How to navigate this? It depends on three factors: the task (coding, reasoning, multimodal), budget, and requirements for latency and context.
For coding, Claude Opus 4.6, GPT-5.4, and DeepSeek R1 lead the pack. Claude excels at understanding large codebases thanks to its 1M token context. GPT-5 offers the broadest multimodal capabilities. DeepSeek R1 is the best open-source choice with performance comparable to commercial models at a fraction of the price.
For AI agents and automation, tool-use and reasoning capabilities are key. The best choices are Claude Sonnet 4.6 (fast, accurate, cost-effective), GPT-5 (reliable, wide support), and Gemini 3.1 Pro (huge 1M+ context, multimodal). For local deployment, consider Llama 4 or Qwen3.5.
Budget plays a big role. Commercial API models cost $0.25-30/M tokens. Open-source models via Ollama or vLLM on your own GPU can be significantly cheaper at high volume. For prototyping, use free models — Gemini Flash, Qwen free tier, or local Llama via Ollama.
Don't be afraid to combine models. Use a cheaper model (GPT-5.4 Mini, Claude Haiku) for simple tasks and a more powerful model for complex ones. Find a complete overview of all AI models with pricing and parameters on our AI Models page.