Llm Platforms
Every model can write. That's the baseline now — you type a prompt, you get grammatically correct paragraphs back. The question that actually matters in 2026 is which model writes the thing you need, in the way you need it, without requiring forty-five minutes of prompt engineering to get
Llm Platforms
Picking the right LLM for coding is not a single decision. It's five or six decisions, because "coding" covers tasks that have almost nothing in common with each other. Autocomplete while you type, generating a new module from a description, refactoring a legacy codebase, debugging a
Llm Platforms
The open-vs-closed debate in LLMs generates more heat than light, mostly because people argue ideology when they should be doing math. Running your own model is not inherently better or worse than calling an API. It depends on what you're doing, how much you're doing it,
Llm Platforms
Most serious LLM users should have access to both Claude and GPT. That's the conclusion, up front, because every head-to-head comparison that declares a single winner is optimizing for clicks over usefulness. These models have genuinely different strengths, and those differences are stable enough now that you can
Llm Platforms
Anthropic's Claude is the LLM platform that serious text workers migrated to and mostly stayed on. It is the best model family available for long-form writing, complex instruction following, and code editing. It is not the best at everything, and it costs more than you expect once you