3 posts
The strongest levers to control LLM cost in production: token economics, prompt caching, semantic cache and model routing, illustrated with 2026 pricing moves.
What is a token? A token is the smallest unit of meaning a language model uses to process text — it can be a word, a word piece, or punctuation. This guide: a clear definition, how tokenization works, the token–context window relationship, LLM cost, and why API pricing is token-based.
What is an LLM? How do Large Language Models (LLMs) work, what does Transformer architecture solve, what are tokens, embeddings, and context windows, and how do GPT-5, Claude Opus 4.7, Gemini 3, and Llama 4 compare? A comprehensive 2026 reference covering Turkish LLM performance, training stages, hallucination control, and cost modeling.