Practical guides on tokens, tokenization, LLM costs, and context limits for GPT, Claude, and Gemini.
← Back to the free token counterStart here. What tokens are, why models use them, and the one ratio you need to remember.
Rules of thumb, conversion tables, and the fastest ways to count tokens accurately.
Conversion ratios and why these three measures never line up.
The cost formula, 2026 pricing, and worked examples to predict your bill.
How context windows work, what happens when you exceed them, and how to stay under.
Why Claude counts differently, the official API, and quick estimates.
Proven tactics to shrink prompts, outputs, and your monthly AI bill.