Answer 5 quick questions and get personalized AI model recommendations tailored to your budget, task type, speed requirements, context needs, and privacy preferences.
Text generation, coding, image creation, video, long documents, real-time search, and multimodal tasks each favor different models. GPT-4o excels at multimodal; Claude 3.5 Sonnet at coding and long docs; Gemini at real-time information.
Free options include Gemini 2.0 Flash (free tier), Llama 3.1 (self-hosted), and Mistral. Low-cost options include GPT-4o mini ($0.00015/1K) and Claude 3.5 Haiku ($0.0008/1K). Premium models like Claude 3 Opus and GPT-4o offer maximum capability.
For short tasks, any model works. For 32K–128K tasks, GPT-4o or Claude 3.5 Sonnet. For 200K+, Claude models. For 1M–2M tokens (entire codebases or books), Gemini 1.5 Pro is the only option.
If data privacy is critical, use self-hosted open-source models: Llama 3.1, Mistral, or Mixtral. These run entirely on your infrastructure. For cloud models, review each provider's data retention and training policies.
Gemini 2.0 Flash (Google) offers a free tier via API. Llama 3.1 and Mistral are open-source and free to self-host. For image generation, Stable Diffusion is free to run locally.
Claude 3.5 Sonnet is widely considered the best for coding thanks to its 200K context window and strong instruction following. GPT-4o is a close alternative. For agentic workflows, Claude Code or Cursor are purpose-built options.
Gemini 1.5 Pro supports 2 million tokens. Claude 3.5 Sonnet supports 200K. GPT-4o supports 128K. For very long documents, Gemini 1.5 Pro is unmatched.
Self-hosted open-source models: Llama 3.1, Mistral 7B, or Mixtral 8x22B. Data never leaves your server. For on-device options, Apple Intelligence or Gemini Nano (Android) keep processing local.