Claude vs. GPT vs. Gemini - real differences
These are competing LLM providers (Anthropic, OpenAI, Google) - not fundamentally different technology, but different training approaches, strengths, pricing, and product ecosystems. For most everyday tasks, differences are smaller than marketing suggests; for specific tasks (coding, long documents, agentic tool use), real gaps exist and change often as each releases new versions.
Anthropic (Claude) has generally been strong on careful reasoning, longer context handling, and safety-conscious behavior; OpenAI (GPT/ChatGPT) has the broadest ecosystem and plugin/tool integrations; Google (Gemini) integrates tightly with Google's own data/products and offers very large context windows. These positions shift with every release, so "which is best" is a moving target, not a fixed fact.
Run the exact same real task (e.g. an actual Kasper document draft) through Claude, ChatGPT, and Gemini and compare outputs side by side - the fastest way to form your own informed opinion instead of repeating marketing claims.
What's the best way to decide which model (Claude, GPT, Gemini) is "best" for you?