AIPromptOrbitPrompts • Workflows • Agents

AI Token Calculator

Calculate AI tokens, estimate API costs, analyze prompt length, monitor context window usage, and compare token counts across 60+ leading AI models.

Your Text / Prompt
457 characters•67 words•1 lines•1 paragraph
Real-time analysis on
Live Statistics
AaCharacters:
457
WWords:
67
Lines:
1
Paragraphs:
1
OSentences:
2
Tokens:
92
Bytes:
457
Reading Time:
< 1 min
Token Breakdown
92Total Tokens
Words
7379.3%
Punctuation & Symbols
1920.7%
Spaces
00.0%
Token Visualization
AI Prompt Orbit is an AI prompt engineering platform that helps developers, creators, and businesses discover, create, optimize, and organize high-quality AI prompts.
Legend:
WordPunctuationSpace
Context Window Usage
0.02% Used92 / 400,000 tokens
Used Tokens:92
Remaining Tokens:399,908
Total Window:400,000
All processing happens in your browser. Your data is never stored.
•
Supports 60+ AI models
•
Fast Client-side Tokenization
Selected Model
G
Context Window
400,000tokens
Max Output
16,384tokens
Tokenizer
o200k_baseOfficial
Accuracy
Model Information
ID: gpt-5
ProviderOpenAI
OpenAI
Model Name
GPT-5Official model identifier
Context Window
400,000 TokensMaximum prompt size supported
Max Output Tokens
16,384 TokensMaximum response length generated
TokenizerOfficial
o200k_base
Tokenizer Status
Official Byte Pair Encoding
Supports Vision
Yes (Multimodal)
Supports Reasoning
Yes (Advanced Logic)
Supports Function Calling
Yes (Tool Use)
Supports Structured Output
Yes (JSON Schema)
Release Status
GA / General Availability
Last Updated
2026-06
View PricingView Documentation
Estimated Response (Output)
Input Tokens (Your Text)92
Output Tokens (Estimated)1,000
Total Tokens1,092
Remaining Tokens398,908
Context Health
Excellent
Safe Context Limits0.02% of context used
Workflow Guide

How AI Token Calculator Works

Calculate exact token counts, character statistics, and estimated API usage costs across popular AI models.

  1. Enter Prompt

    Input • < 1s

    Paste your prompt text, system instructions, or code snippets into the input workspace.

  2. Select Model

    Tokenizer • Instant

    Choose your target AI model to apply its tokenizer and accurately calculate token usage using that model's tokenization rules.

  3. Calculate Tokens

    Real-Time • < 1s

    Analyze your content using the selected AI model's tokenizer to calculate accurate token counts, character statistics, and estimated API usage in real time.

  4. Review Results

    Analytics • Instant

    Review token counts, character statistics, and estimated API costs to better understand and optimize your AI usage.

Key Capabilities

Powerful Features

Discover the key capabilities that make this tool fast, accurate, reliable, and easy to use.

Accurate Token Calculation

Calculate token counts using model-specific tokenization rules for reliable and consistent results.

Multi-Model Support

Calculate tokens for OpenAI, Claude, Gemini, DeepSeek, and other supported AI models using their respective tokenizers.

Client-Side Privacy

All text processing occurs locally in your browser so your prompts remain completely private.

Real-Time Token Counting

Get instant live calculations as you type or paste content into the editor.

Supports Large Prompts

Analyze long prompts, documents, and code snippets while maintaining accurate token calculations.

Character & Word Metrics

View detailed character counts, word counts, line counts, and token density metrics in one place.

API Cost Estimation

Forecast usage costs for both input prompt tokens and output completion tokens instantly.

One-Click Copy

Copy token counts, statistics, and analysis results to your clipboard with a single click.

Responsive Design

Enjoy a seamless experience across desktop, tablet, and mobile devices with a fully responsive interface.

Always Up-to-Date

Regularly updated tokenizers and pricing information help ensure accurate calculations and cost estimates.

Value & Impact

Why Use This Tool?

Discover how calculating AI tokens helps you save money, prevent context window overflow, and optimize prompt performance.

Prevent Context Limit Errors

Stay within your AI model's context window by calculating token usage before sending requests, helping you avoid incomplete prompts and truncated responses.

Reduce AI API Costs

Estimate token usage in advance to eliminate unnecessary tokens and reduce input and output costs across popular AI models.

Get Faster AI Responses

Optimize prompt size and remove unnecessary content so AI models can process requests more efficiently and return responses faster.

Keep Your Data Private

All token calculations run locally in your browser, ensuring your prompts, code, and documents are never sent to external servers.

Compare AI Model Tokenization

See how OpenAI, Claude, Gemini, DeepSeek, and other AI models tokenize the same content to choose the most efficient model for your use case.

Analyze Large Content Quickly

Calculate tokens for long prompts, documents, articles, and source code in seconds without manually estimating token budgets.

FAQ

Frequently Asked Questions

Find clear answers to common questions about AI token calculation, character counts, and model context limits.

An AI token is the basic unit of text processed by large language models like ChatGPT, Claude, and Gemini. Rather than processing full words, models break text into subword chunks using Byte-Pair Encoding (BPE). One token averages about 4 characters or 0.75 words of English text, but punctuation, spaces, code symbols, and special characters are tokenized separately.
Each AI model provider builds a custom vocabulary tokenizer optimized for its training dataset. OpenAI uses the Tiktoken encoder (cl100k_base or o200k_base), while Anthropic Claude and Google Gemini use distinct BPE encoding dictionaries. Because vocabulary sizes and subword rules differ, the exact same sentence will yield slightly different token counts across models.
Every AI model has a maximum context window limit—such as 128k tokens for GPT-4o or 200k tokens for Claude 3.5. Your total prompt input tokens plus the expected completion tokens must stay within this boundary. Exceeding the limit results in error codes or truncated text where the AI forgets earlier system instructions.
Code snippets, JSON schemas, SQL queries, and technical symbols contain heavy indentation, brackets, quotes, and non-standard syntax. Unlike natural English words that combine into single tokens, code characters and formatting spaces are frequently split into individual 1-character tokens, increasing total token density significantly.
Yes, completely private. Our AI Token Calculator executes all text processing and tokenizer calculations locally inside your web browser. Your prompt text, source code, and confidential documents are never uploaded to remote servers, saved to databases, or shared with third-party AI providers.
Yes. Once you know your exact prompt token count, you can multiply the input token total by your model's per-million input rate, and multiply your estimated completion token count by the output rate. This gives you an exact financial estimate per API call or batch workload.
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