Tiktokenizer
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Browser-local token analysis

AI Token Counter

What is an AI token counter?

An AI token counter measures how text is divided into the token units processed by language models. Tiktokenizer counts compatible OpenAI text locally and provides labeled planning estimates for Claude, Gemini, and DeepSeek. Use the result to compare prompt length and context usage, then verify complete billable requests with provider usage records.

Verified Last verified: Source: OpenAI token guide
Processed in this browser
Token analysisDebounced local analysis
Total tokens0
Characters89
Words14
Estimated input cost$0.0000
CompatibleUses OpenAI's o200k-compatible text encoding locally. API message wrappers, tools, images, and provider-side changes can alter billed usage.
Context usage0.00% of 1,050,000
Token visualization
A guarded estimate is shown; individual token IDs are unavailable.

Provider API usage records remain the final source of truth for billing.

How many tokens are in this text?

The answer comes from applying the selected compatible encoding or labeled estimate to the exact text. Spaces, punctuation, code, numbers, line breaks, and parts of words can each affect the result, so a word count cannot replace tokenization. The result panel reports the complete count even when a very large visualization is shortened.

This AI token counter also shows characters, words, context share, and a text-input cost estimate. Those values help diagnose prompt length without treating the browser count as a provider invoice.

Can I count chat message tokens?

Yes. Chat mode separates System, User, and Assistant message bodies, counts their visible content, and adds a stated message-format allowance. It does not claim that the allowance matches every API endpoint or model release. Names, tool definitions, structured-output schemas, attachments, images, and generated output may add more tokens.

Use the AI token counter to edit visible content, then inspect the actual API usage response.

Which model should you select?

Select the model family that matches the request you are planning. GPT modes use a compatible local encoding. Claude, Gemini, and DeepSeek modes provide comparable local estimates but do not reproduce those providers' billing tokenizers.

The accuracy badge is part of the answer: Compatible and Estimate are different evidence levels. Read what an AI token represents before interpreting boundaries; the AI token counter never labels all providers Exact.

When should an AI token counter lead to cost planning?

Use the AI token counter first, then calculate cost after the input shape is realistic and you have an expected output range. Input alone can be a small part of the request when responses are long, retries occur, or repeated context qualifies for cached pricing.

Continue from the AI token counter to the AI token cost calculator, then compare current rates in LLM API pricing.

Source and method

Which source and measured checks support this AI token counter?

The AI token counter measured empty text, Unicode, Chinese, code, line breaks, model switching, chat messages, and a bounded preview above 5,000 tokens. Its documented limitation is accuracy scope: OpenAI text uses a Compatible encoding, while Anthropic Claude, Google Gemini, and DeepSeek results are estimates. OpenAI token guide. Last verified: .

Which source and measured checks support this AI token counter? Evidence and limitations for the current page.
EvidenceObserved result or boundary
Measured inputsPlain text, chat roles, Unicode, Chinese, code, line breaks, empty and long input.
Output boundaryFull count with a first-and-last preview; provider usage remains final for billing.
Answers

AI token counter questions

Is this AI token counter exact?

The AI token counter is compatible for its supported OpenAI text encoding and an estimate for Claude, Gemini, and DeepSeek. Complete provider requests can add message, tool, media, and output tokens.

Does the token counter upload my text?

No. The current token counter runs in your browser and has no prompt-processing API route. It does not send the entered prompt to a model provider.

Can the token counter analyze chat messages?

Yes. Chat mode counts each visible message body and adds a separate planning allowance for message formatting. Provider-specific tools and hidden framing still require an API-side check.

How do I turn a token count into API cost?

Open the AI token cost calculator, enter expected output and cached input tokens, choose request volume, and compare the source-linked model estimates.

Count the actual text, then verify the actual request

This AI token counter is suitable for prompt editing and context planning, but it is not for complete billing. Use provider token-counting or usage records when a production limit or bill must be exact.