🤖 AI Token Counter & Cost Estimator
Count tokens and estimate costs across GPT-5.6, Claude, DeepSeek, Gemini, and more. Know your API costs before you call.
Paste any text to estimate token count and API costs across 12 AI models including GPT-5.6, Claude, DeepSeek, Gemini, Grok, and Llama. View character count, word count, estimated tokens, and detected language alongside a cost comparison table. Budget your AI API calls before making expensive requests — all counting runs client-side.
| Model | Input ($/1M) | Output ($/1M) | Est. Input | Est. Output |
|---|
* Prices per 1M tokens, as of July 2026. Token count is estimated (~4 chars/token for English, ~2 for non-Latin). For exact counts use tiktoken.
📋 When to Use the AI Token Counter & Cost Estimator
Check the AI Token Counter before sending anything expensive to an LLM API — sizing a prompt against a context window, estimating monthly costs for a batch pipeline, or checking whether a cheaper model changes your feature's economics. It's the two-second sanity check between draft prompt and production budget.
⚙️ How the AI Token Counter & Cost Estimator Works
Token counts are estimated from character counts — roughly four characters per token for English, fewer for non-Latin scripts, detected automatically — and multiplied by each provider's published per-million-token rates to fill the cost comparison table. All twelve models update on every keystroke, and the counting itself runs in the page rather than calling any API.
How to Use the AI Token Counter
- Paste your text — Drop any prompt, conversation, or document into the text area. The tool analyzes it instantly.
- Check your stats — View character count, word count, estimated tokens, and detected language (English vs multi-language).
- Compare costs — The cost table shows estimated API pricing for 12 models: GPT-5.6, Claude, DeepSeek, Gemini, Grok, and Llama.
- Budget your calls — Use the cost estimates to decide which model fits your budget before making expensive API requests.
Frequently Asked Questions
How accurate is the token count?
Token counts use character-based estimation: ~4 characters = 1 token for English, ~2.5 for non-Latin scripts. This is ~85-90% accurate. For exact counts, use the model's official tokenizer (e.g., tiktoken for OpenAI).
Are the API prices up to date?
Prices are current as of July 2026. API pricing changes frequently — verify with the provider before production use.
Why do input and output have different prices?
Most AI providers charge more for output tokens because generating text is more computationally expensive than processing input.
Does this work for non-English text?
Yes! The tool detects when >30% of characters are non-Latin and adjusts the token ratio accordingly.
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