AI Tools / Token Calculator
AI Token Calculator & Cost Estimator
Free token calculator for GPT, Claude, Gemini, and Grok. Calculate exact tokens and API costs before sending requests. Supports all major LLM models with real-time cost estimates.
Recommended max: 200,000 tokens • Using OpenAI tokenizer
Tokens
0
Recommended max: 200,000
Characters
0
Characters include spaces and punctuation.
Token breakdown
Waiting for input…
Tokens will appear here as you type.
Token insights
Top 5 most expensive (by usage)
Tokens will appear here as you type.
Top 5 most frequent tokens
Tokens will appear here as you type.
Use Cases
When is an AI token calculator helpful?
- Cost estimation: Calculate API costs before making requests to avoid surprises
- Prompt optimization: Stay within model context limits by monitoring token counts
- Comparing models: See how different providers tokenize the same text differently
- Batch processing: Estimate total costs for processing large datasets
- Context window management: Ensure your prompts fit within model limits (4K, 8K, 128K, etc.)
FAQ
What are tokens in AI models?
Tokens are the basic units that AI models use to process text. They can be full words or word pieces (subwords). "hello" might be one token; "understanding" might become "under" + "standing".
Why do token counts differ between models?
Different providers use different tokenizers, so the same text can split differently, changing counts and costs.
Does this tool send my text to any servers?
No. All tokenization runs in your browser—no API calls are made.
What's the difference between tokens and words?
Words are separated by spaces; tokens follow common character patterns. Long words can be multiple tokens; short words are often single tokens. Punctuation and emojis also affect tokenization.
What do the colors mean in the token breakdown?
The colors in the token breakdown help you visualize how your text gets split into tokens. Each color represents a single token boundary - where one token ends and another begins. The same color may appear multiple times as the palette rotates through the available colors. Hover over any colored token to see its unique numeric ID. This visualization makes it easier to understand how different models tokenize text differently - for example, "understanding" might be one token in some models but split into "under" + "standing" in others.
Which pricing should I use for cost estimates?
Use input token price for what you send, and include output tokens for expected responses. Providers often price input vs output differently.
Tips
- Token counts drive cost and max context. Keep prompts concise.
- Costs use input pricing only. For full requests, include expected output tokens.
- If a tokenizer is still loading, you’ll see “Initializing tokenizer…”—this happens only on first use.
- Switch models to compare tokenization differences between providers.