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AI Token Counter & Cost Calculator

Count tokens for GPT, Claude, and Gemini prompts and estimate API costs across models — live as you type, fully client-side.

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GPT Tokens (exact)

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Claude Tokens (est.)

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Words

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Characters

Loading tokenizer…

Cost comparison.

Model Your Tokens Input $/1M Output $/1M Input Cost Est. Total

Prices per million tokens, from providers' published API pricing as of July 2026. GPT counts are exact (o200k tokenizer); Claude and Gemini counts are estimates — their tokenizers are not public. Always confirm current pricing with the provider.

How to use AI Token Counter & Cost Calculator.

  1. 1

    Paste or type your prompt into the text area

  2. 2

    Token counts update live — exact for GPT models, estimated for Claude and Gemini

  3. 3

    Read the per-model table to compare input costs for your prompt

  4. 4

    Adjust the expected output length to estimate total request cost

Why use this tool.

Know what a prompt costs before you send it to the API

Compare the same prompt's cost across GPT, Claude, and Gemini models

Check prompts against model context limits while drafting

Safe for proprietary prompts — nothing you paste leaves your browser

No signup, no rate limits

About AI Token Counter & Cost Calculator.

True Tool Deck's AI Token Counter counts the tokens in your prompt and calculates what it costs to send to GPT, Claude, and Gemini models — live, as you type. GPT counts are exact, computed with the o200k tokenizer running in your browser; Claude and Gemini counts are clearly-labeled estimates, since those tokenizers aren't public. The cost table applies each model's current per-million-token pricing to your actual prompt, plus your expected output length, so you can compare the real cost of a request across providers before writing a line of integration code. Everything runs client-side: system prompts, proprietary context, and confidential text never leave your device.

Frequently asked questions.

What is a token?

Language models process text as tokens — chunks of roughly 3-4 English characters. 'Hello world' is 2 tokens; a typical English sentence runs 20-30. API pricing, context limits, and rate limits are all denominated in tokens, which is why counting them matters.

Are the counts exact?

GPT counts are exact — the tool runs the same o200k tokenizer OpenAI uses, directly in your browser. Claude and Gemini use proprietary tokenizers with no public browser version, so those counts are estimates (typically within ~10-15%) and are labeled as such. For exact Claude counts, use Anthropic's count_tokens API endpoint.

Why did my prompt cost jump between models?

Two reasons: per-token prices differ up to 50× between models, and different tokenizers split the same text into different token counts. The comparison table shows both effects applied to your actual prompt.

Is my prompt uploaded anywhere?

No. The tokenizer runs entirely in your browser via JavaScript. Proprietary prompts, system messages, and confidential text never leave your device — unlike most token counter sites, which send your text to a server.

Why do prompt sizes matter more now?

Average developer prompts grew roughly 4× between 2024 and 2026 as agentic workflows and long system prompts became standard. At thousands of tokens per call, small per-token prices compound quickly — tracking cost per prompt is how you catch it early.

How current are the prices?

Prices were last updated in July 2026 from the providers' published API pricing pages. Providers change prices; always confirm against the official pricing page before budgeting a production workload.

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