Token Counter & Cost Estimator - GPT, Claude, Gemini, Llama

Count tokens and estimate API costs for GPT-4o, Claude, Gemini, and Llama. Compare pricing across models and project recurring costs. 100% client-side.

Features

• Accurate token counts (tiktoken / cl100k / o200k)
• Multi-model comparison (GPT-4o, Claude, Gemini, Llama)
• Per-model API cost estimation
• Recurring monthly cost projection
• Token split visualization (prompt vs completion)
• 100% client-side

Frequently Asked Questions

What is a token in an LLM?

A token is a chunk of text (roughly 4 characters, or ¾ of an English word) that a model reads as a single unit. “ChatGPT” might be one token; longer words split into several. Models price per million input and output tokens.

How accurate is the token count?

The counter uses the same tokenizers as the models (e.g., tiktoken cl100k_base / o200k_base for GPT). Counts are highly accurate for text; the final API bill may differ slightly due to tool-call formatting, images, or system-fingerprint tokens.

How is cost calculated?

Cost = (input tokens × input price) + (output tokens × output price), using each model’s published per-million-token rates. Prices are updated periodically; always confirm on the provider’s pricing page before budgeting.