Token Counter

Precision auditing of prompt volumes.

Understanding how an LLM "sees" your text is vital for staying within context limits and managing costs.

Tokenization Engines

Every AI provider uses a different "tokenizer" to turn text into integers (tokens).

• OpenAI: Uses tiktoken (o200k-base for GPT-4o).
• Anthropic: Uses a proprietary tokenizer roughly equivalent to 1 token ≈ 4 characters.
• Google: Uses a SentencePiece-based tokenizer.

Counter Features

• Provider Switching: Instantly see how the same text is tokenized by Claude vs GPT.
• Context Percentage: Visual indicator showing how much of the model's window (e.g., 200k for Claude 3.5) you are consuming.
• Cost Estimate: Real-time pricing based on the current token count.