ChatGPT Claude Gemini Token Counter | API Cost Estimator (July 2026 edition)

ChatGPT, Claude, Gemini. Token count, API cost, context usage — instant.

Data is never sent to the server. Everything runs locally in your browser. Safe for sensitive information.

About this tool

Paste text for GPT-5.6 / Claude Sonnet 5 / Fable 5 / Gemini 3.6 token counts, input/output costs, and context usage. OpenAI uses tiktoken exact.

How many tokens and dollars will this prompt cost? Paste once to compare GPT-5.6, Claude, and Gemini side by side with context usage %. Runs fully in your browser — safe for confidential prompts.

Tool interface

Runs in your browser — nothing is uploaded Estimate

Chars
0
Words
0
Lines
0
CJK / Latin
0 / 0
Bytes
0
Tokens (OpenAI / o200k)
0

Cost estimate

Output token multiplier
Per request
$0
Input
$0
Output
$0
Total
$0

Monthly uses GPT-5.6 Luna pricing ($1/$6 per 1M).

vs ChatGPT Web limit

Separate from API limits. Plus Instant ≈ 32K.

Usage vs Web limit 0%

System prompt (optional)

API billing counts system + user together as input tokens.

Model Tokens Usage Input Output

OpenAI uses tiktoken (o200k_base) — same as the API. Claude / Gemini / DeepSeek counts are approximate (±8%). Share links store data in the URL hash only. Pricing from official pages (as of 2026-07-21).

How token counting works

Paste once to see character stats, OpenAI exact tokens (tiktoken o200k), and script-weighted approx counts for Claude / Gemini / DeepSeek with input/output cost and context usage %. Pricing syncs with our rate table.

ChatGPT Web vs API limits

ChatGPT Plus Instant is roughly 32K tokens; Thinking mode is closer to 256K. OpenAI API models (GPT-5.6, etc.) expose 1M+ context. The Web limit bar compares your prompt against app limits — not API limits.

Exact vs approx

OpenAI models use the same o200k_base tokenizer as the API (exact). Claude and Gemini use proprietary tokenizers, so we apply measured CJK / Latin / other tok/char rates and label them approx (±8% typical).

Japanese uses more tokens than English

Model tok / char Note
Gemini 3.6 Flash ~0.57 Efficient on Japanese
GPT-5.6 / o200k ~0.68 OpenAI exact
Claude Sonnet 5 ~0.87 approx

System prompt & RAG chunks

Billing counts system + user together. Add RAG snippets to the main textarea or system field before trusting the numbers. Gemini 3.1 Pro switches to long-context tier pricing above 200K input tokens (shown as a badge in the table). GPT-5.6 tiers switch above 272K input.

RAG chunk reference (tiktoken measured / GPT-5.6 1M ctx)

Values measured with o200k_base (2026-07-19).

Chunk Chars Tokens 1M ctx 32K Web
Short FAQ (Japanese) 133 68 0.01% 0.21%
Tech article section 1,763 970 0.1% 3.03%
~10 PDF pages 7,542 3,972 0.4% 12.41%
Full internal wiki (risk) 80,000 42,779 4.28% 133.68%

Pricing sources

Related

Usage

  1. Paste your prompt (autofocus on load)
  2. Check OpenAI exact tokens plus all-model costs and usage %
  3. If usage is tight or over, shorten or switch models

When to use

API cost estimates, prompt optimization, context window checks, ChatGPT long-thread length checks.

Examples

100 Japanese chars ≈ 60–90 tokens (model-dependent). GPT-5.6 Luna input $1/1M, output $6/1M.

Tips

  • OpenAI models use exact tiktoken (o200k). Claude/Gemini use script-weighted approx (±8%).
  • ChatGPT Web ≈ 32K vs API 1M+ — use the Web limit bar separately.
  • System prompt and RAG chunks count toward input tokens.

FAQ

How accurate is the count?

OpenAI models use exact tiktoken (o200k_base) in your browser. Claude and Gemini show script-weighted approx (±8%).

What is a token?

The smallest unit LLMs process. API billing and context limits are both token-based.

Web vs API limits?

ChatGPT Web Plus Instant is ~32K tokens; API GPT-5.6 supports 1M+. The tool shows both.

Does system prompt count?

Yes. Use the system prompt field — billing counts system + user together.

Does Japanese use more tokens than English?

Yes. Measured ballparks: Gemini ≈ 0.57 tokens/char, GPT ≈ 0.68, Claude ≈ 0.87. The same 100 characters can differ by model.

How is the API cost calculated?

Input tokens × input price + output tokens × output price. The tool estimates with output multipliers (0.5×/1×/2×) and monthly request counts.

Are ChatGPT Web and API limits the same?

No. Web Plus is around 32K, Thinking around 256K. API (e.g. GPT-5.6) exceeds 1M tokens. Check the Web limit bar separately.

Is ChatGPT Claude Gemini Token Counter | API Cost Estimator (July 2026 edition) free?

Free to use, no sign-up required.

Is data sent to a server?

Input is processed locally in your browser—nothing is sent to our servers.

Supported browsers?

Tested on recent Chrome, Edge, Firefox, and Safari.

Offline use?

Core features work offline after the first load.

vs CLI or desktop apps?

ChatGPT Claude Gemini Token Counter | API Cost Estimator (July 2026 edition) is an install-free online alternative to CLI or desktop apps.

When to use it?

Use it when: API cost estimates, prompt optimization, context window checks, ChatGPT long-thread length checks.

Usage example?

Example: 100 Japanese chars ≈ 60–90 tokens (model-dependent). GPT-5.6 Luna input $1/1M, output $6/1M.

Main features?

Instant token count, OpenAI tiktoken exact, Multi-model compare, Input/output cost, Context usage %, Fully local

How is this different from similar tools?

ChatGPT Claude Gemini Token Counter | API Cost Estimator (July 2026 edition) runs in the browser with no install—ideal for quick checks before heavier CLI or IDE workflows.

Search keywords

token, ChatGPT, LLM, API, cost, prompt, tiktoken, chatgpt token counter, claude token counter, prompt token count, llm token calculator, token counter, ChatGPT tokens, LLM API cost, context window

Basic workflow

  1. Paste your prompt (autofocus on load)
  2. Check OpenAI exact tokens plus all-model costs and usage %
  3. If usage is tight or over, shorten or switch models

Practical use cases

  • API cost estimates, prompt optimization, context window checks, ChatGPT long-thread length checks.
  • Paste text for GPT-5.6 / Claude Sonnet 5 / Fable 5 / Gemini 3.6 token counts, input/output costs, and context usage. OpenAI uses tiktoken exact.
  • OpenAI models use exact tiktoken (o200k). Claude/Gemini use script-weighted approx (±8%).
  • ChatGPT Web ≈ 32K vs API 1M+ — use the Web limit bar separately.
  • System prompt and RAG chunks count toward input tokens.
  • Instant token count
  • OpenAI tiktoken exact

Privacy & data handling

Input is processed locally in your browser—nothing is sent to our servers.

Things to watch out for

  • Treat ChatGPT Claude Gemini Token Counter | API Cost Estimator (July 2026 edition) as a quick check — re-verify critical values in your editor or CI before shipping.
  • This tool runs locally: closing the tab clears unsaved input. Copy results you need to keep.
  • Very large pastes can freeze a tab briefly — wait for the result before closing the tab.
  • OpenAI models use exact tiktoken (o200k). Claude/Gemini use script-weighted approx (±8%).
  • ChatGPT Web ≈ 32K vs API 1M+ — use the Web limit bar separately.

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