Free AI Token Counter & Estimator
Use this GPT token calculator and ChatGPT token calculator to estimate prompt tokens before sending. Our AI token counter and prompt token estimator work for GPT-4, GPT-3.5, and Claude—100% in your browser, no API.
Pricing estimates based on public model pricing. Last updated: February 2025. Actual costs may vary.
Estimate varies by model and language. Emojis and non-English text are adjusted. Cost is approximate—check provider pricing.
What are tokens in AI?
Tokens are the units AI models use to read and generate text—roughly word pieces or subwords. One token is often 3–4 characters in English, but punctuation, emojis, and other languages can use more or fewer characters per token. This GPT token calculator estimates how many tokens your prompt uses so you can stay within the model's context window.
Why token limits matter
Every model has a maximum context size (e.g. 128K for GPT-4 Turbo). Your input and the model's output together must fit. Exceeding the limit causes errors or truncation. Use this ChatGPT token calculator before sending long prompts or when you need to reserve space for the response. For splitting long text, try our Text Chunk Splitter.
GPT token limits explained
GPT token limits differ by model. GPT-4 Turbo supports up to 128K tokens in a single context window. GPT-4 (standard) typically offers 8K or 32K depending on the variant. GPT-3.5 Turbo has a 16K context. Claude models often support 100K or 200K tokens. Use this AI token counter to see how your prompt fits each model and to compare GPT-4 vs GPT-3.5 vs Claude context sizes before you send.
How to avoid token limit errors
- Check your prompt size with a GPT token calculator or ChatGPT token calculator before sending. Reserve part of the context for the response using the slider above.
- Trim long instructions or paste only the relevant excerpt. Use our Prompt Formatter to clean and structure text first.
- For very long documents, split content with our Text Chunk Splitter and send in chunks, or summarize sections before feeding into the model.
- If you hit the limit, switch to a model with a larger context (e.g. GPT-4 Turbo 128K) or reduce input and reserved output.
Token cost optimization tips
Our token cost estimator shows an approximate input cost per model. Cost is based on typical list prices per 1,000 input tokens—output tokens and actual provider pricing may differ. To optimize: (1) keep prompts concise and well-structured with our Prompt Formatter; (2) use a smaller or cheaper model when the task doesn’t need the largest context; (3) reserve only the output space you need so you don’t over-count. This tool gives you a quick estimate; always check the provider’s latest pricing for exact costs.
GPT-4 Token Limit Calculator (128K Context Explained)
GPT-4 Turbo supports a 128K token context window—roughly 96,000 words or hundreds of pages of text in a single request. A GPT-4 token limit calculator helps you see how much of that window your prompt and reserved response will use. Token counting matters because the model must fit both your input and its reply within the limit; going over causes errors or cut-off responses. Use the tool above to estimate your prompt size and compare it against the 128K context so you can plan long documents, multi-turn conversations, or large inputs with confidence.
ChatGPT Token Calculator for API Users
If you use the ChatGPT API or other LLM APIs, a token calculator is essential for token budgeting and cost control. Plan your context window by reserving a percentage of tokens for the model's response (the slider above does this), then keep your input within the remaining space. That way you avoid overflows and unnecessary retries. For cost control, use the estimated input and total cost as a ballpark—then trim prompts or switch models when the numbers add up. This ChatGPT token calculator gives you quick, client-side estimates so you can iterate on prompts and context window planning without calling the API first.
Frequently Asked Questions
How many tokens are in a ChatGPT prompt?
Token count depends on the model and language. For English, a rough rule is about 4 characters per token (1,000 characters ≈ 250 tokens). This GPT token calculator uses a heuristic that also accounts for emojis and multilingual text. For exact counts, use the provider's API or tokenizer.
What is the token limit for GPT-4?
GPT-4 and GPT-4 Turbo have context windows of 8K, 32K, or 128K tokens depending on the variant. Your prompt plus the model's response must fit within that limit. Use this ChatGPT token calculator to estimate your prompt size before sending and avoid hitting the limit.
Is this AI token counter accurate?
This tool gives an approximate count using a character-based formula that adjusts for emojis and non-ASCII text. It is not exact—actual tokenization varies by model. Use it as a prompt token estimator for quick checks; for precise counts, use the provider's API or tokenizer.
Why do token limits matter?
Token limits cap how much you can send (input) and how much the model can return (output). Exceeding the limit causes errors or truncation. Estimating tokens before sending helps you stay within the context window and avoid wasted API calls.
How is estimated cost calculated?
We multiply your estimated input tokens by the model's typical input price per 1,000 tokens (e.g. GPT-4 Turbo) for the input cost. The total cost estimate adds your reserved output tokens to the input tokens and uses the same per-1k rate—so it approximates input + response. Both are approximate; prices change, so check the provider's latest pricing.
What's the difference between GPT-4 and GPT-3.5 token counts?
Both use similar tokenization (BPE). GPT-4 tends to use slightly fewer characters per token on average (~3.8 vs ~4). This tool lets you switch between models to see how the estimate changes. Context limits also differ: GPT-4 Turbo supports 128K, GPT-3.5 Turbo 16K.
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