Token Counter

    Count text tokens for GPT-5, Claude, Gemini, Llama, and DeepSeek. Visualize context window usage and stay within API limit thresholds with our tool.

    General Statistics

    Characters0
    Words0
    Estimated Tokens (o200k)0

    Model Context Usage

    OpenAI

    OpenAI

    GPT-5
    Limit: 256,000 tokens
    0% used0
    GPT-4o
    Limit: 128,000 tokens
    0% used0
    GPT-4o mini
    Limit: 128,000 tokens
    0% used0
    GPT-4 Turbo
    Limit: 128,000 tokens
    0% used0
    Anthropic

    Anthropic

    Claude Opus 4
    Limit: 200,000 tokens· approx
    0% used0
    Claude Sonnet 4
    Limit: 200,000 tokens· approx
    0% used0
    Claude 3.5 Sonnet
    Limit: 200,000 tokens· approx
    0% used0
    Claude 3.5 Haiku
    Limit: 200,000 tokens· approx
    0% used0
    Google

    Google

    Gemini 2.5 Pro
    Limit: 1,000,000 tokens· approx
    0% used0
    Gemini 2.0 Flash
    Limit: 1,000,000 tokens· approx
    0% used0
    Gemini 1.5 Pro
    Limit: 1,048,576 tokens· approx
    0% used0
    Gemini 1.5 Flash
    Limit: 1,048,576 tokens· approx
    0% used0
    Meta

    Meta

    Llama 4 Maverick
    Limit: 1,000,000 tokens· approx
    0% used0
    Llama 3.3 70B
    Limit: 128,000 tokens· approx
    0% used0
    DeepSeek

    DeepSeek

    DeepSeek-V3
    Limit: 128,000 tokens· approx
    0% used0
    OpenAI token counts use the real tokenizer via gpt-tokenizer (o200k_base for GPT-4o/5, cl100k_base for GPT-4 Turbo). Anthropic, Google, Meta and DeepSeek counts are approximations using cl100k_base since their native tokenizers are not publicly available.

    How to Use

    Follow these simple steps to get the best results.

    1Paste your prompt or code. See exactly how many tokens you're using for your favorite AI model as you type.
    2Check the stats. We use OpenAI's official tokenizer for GPT models and a high-quality proxy for others like Claude or Gemini.
    3See the context limits. Our bars show how much of the model's 'memory' you're using. If it hits red, you're going to need to trim some text.
    4Pick your model. We support everything from the latest GPT-4o and Claude 3.5 to Llama and DeepSeek.
    5Reset and start over. Clear everything in one click and prep your next big AI prompt.

    Frequently Asked Questions

    For OpenAI, we use the actual tokenizer they use for their APIs (like o200k_base). For other models like Claude or Gemini, their math is private, so we use the OpenAI count as a very close guess. It's usually within 5-15% of the real thing.

    OpenAI updated their 'dictionary' for newer models like GPT-4o. They use a more efficient encoding (o200k_base) compared to older versions like GPT-4 Turbo. The same text gets split up differently, leading to different counts.

    Since those providers don't share their tokenizers, we use the best available proxy. For English text, it's usually spot on or very close. We mark these as 'approx' so you know it's a high-quality estimate rather than a 100% guarantee.

    Think of the context window as the model's short-term memory. It's the limit on how much text (both your prompt and its answer) it can handle at once. The progress bar shows you how much of that memory you're eating up.

    Yellow means you're getting close to the limit, you might want to trim your text a bit. Red means you've exceeded what the model can handle and the API will likely reject your request unless you shorten it.

    No. Everything happens right here in your browser. We use local JavaScript packages to do the math. Your text never leaves your machine and it's never sent to any AI provider or server.

    How It Works

    Don't Waste Your Context: Master AI Token Counting

    AI models don't read words the same way we do. They break text down into chunks called "tokens." These tokens are the currency of the AI world - they determine how much you pay for an API call and how much information the model can remember at once. Our Token Counter is a free, real-time tool that lets you see exactly how an AI "sees" your prompt.

    Why Every Token Counts

    Context Windows ("The Brain Limit"): Every AI has a "context window" - the maximum number of tokens it can handle in one go. If your prompt is too long, the AI will start to "forget" the beginning of the conversation. Our tool shows you a progress bar so you know exactly how much room you have left.

    API Billing: Whether you're using OpenAI, Anthropic or Google, they charge you based on tokens, not words. A single complex word might be three tokens, while a simple one is just one. Checking your count here before sending a request can save you thousands in unexpected costs.

    How We Calculate Your Counts

    OpenAI (Exact Results): For models like GPT-4o, GPT-4 and GPT-3.5, we use the official "tiktoken" logic (o200k_base and cl100k_base). These counts are 100% accurate because they use the same code as the OpenAI API itself.

    Claude, Gemini & Llama (Smart Approximations): Companies like Anthropic and Google don't release their official tokenizers to the public. For these models, we use a high-precision approximation. For English text, these counts are typically within 5-10% of the actual API result.

    ModelProviderContext WindowAccuracy
    GPT-4o (Incl. mini)OpenAI128,000 tokensExact
    GPT-4 TurboOpenAI128,000 tokensExact
    Claude 3.5 (Sonnet/Haiku)Anthropic200,000 tokensApprox
    Gemini 1.5 (Pro/Flash)Google1,000,000+ tokensApprox
    Llama 3 (70B/8B)Meta128,000 tokensApprox

    Pro Tips for Prompt Engineering

    RAG & Long Documents: If you're building a "Chat with your PDF" app, you need to chunk your data. This tool helps you find the sweet spot where your chunks are small enough to fit but big enough to maintain context.

    System Prompts: Your "hidden" instructions count toward the limit too. Use this tool to trim your system prompts so you can give more room to your users' queries.

    Cost Control: If you're running millions of API calls, saving even 5 tokens per request can add up to huge savings over time.

    Private and Secure

    Privacy is mandatory for developers. Your text is never sent to a server, never shared with an AI and never stored in a database. Everything happens right here in your browser using local JavaScript. It's safe for confidential system prompts, sensitive code and proprietary internal documents. No accounts, no logs, just precise counts.