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AI Token Calculator

Related tools:AI Pricing TableAI Cost Analyzer

Free LLM Token Counter & Cost Estimator for 100+ Models (Updated 2026)

Quickly calculate how many tokens your prompt will use across popular AI models like OpenAI, Gemini and Claude, with accurate counts powered by official tokenizers. Get real-time API cost estimates based on the latest pricing, compare models instantly, and switch to the most cost-effective option in one click. Built for developers, product teams, and AI builders - iToolVerse helps you optimize prompts, control spending, and scale AI usage efficiently without exceeding your budget.

Token Counter & Cost Estimator

Official pricing
0 chars
0
Tokens
0
Words
0
Characters
no spaces
0
Total Chars
with spaces
GPT-5.4 Nano
OpenAI
400K ctx
Input Cost
$0.0000
$0.20/1M
Output Cost
$0.0000
$1.25/1M
Total
$0.0000
per call
Save up to 100%
Switch to Qwen3 Next 80B A3B Instruct (free)
Alibaba · Free input · 262K ctx

Quick Model Comparison

Model
Provider
Tokens
Input Cost ▲
Output Cost
Context
Qwen3 Next 80B A3B Instruct (free)Alibaba—
Free
Free
262K
Qwen3 Coder 480B A35B (free)Alibaba—
Free
Free
262K
Mistral NemoMistral—
$0.02/1M
$0.04/1M
131K
Qwen-TurboAlibaba—
$0.03/1M
$0.13/1M
131K
Qwen2.5 7B InstructAlibaba—
$0.04/1M
$0.10/1M
33K
Nova MicroAmazon—
$0.04/1M
$0.14/1M
128K
GPT-5 NanoOpenAI—
$0.05/1M
$0.40/1M
400K
Mistral Small 3Mistral—
$0.05/1M
$0.08/1M
33K
Qwen3 8BAlibaba—
$0.05/1M
$0.40/1M
41K
Llama 3.1 8B InstantGroq—
$0.05/1M
$0.08/1M
128K

How to Use the AI Token Calculator

Get your token count and API cost estimate in 4 simple steps.

1
Pick Your Model
Select an AI provider and the specific model you plan to use. Defaults to OpenAI GPT-5.4.
2
Enter Your Prompt
Paste or type your prompt. Or switch tabs to estimate costs from a token count or word count directly.
3
Read Live Results
Token count, word count, input cost, and output cost update instantly as you type — no button needed.
4
Compare & Optimize
Scroll to the Quick Comparison table, sort by cheapest input cost, and find the best model for your budget.

Frequently Asked Questions

Common questions about token counting, AI API costs, and LLM model pricing.

Example Prompts & Token Counts

See how different prompt types translate to token counts. Paste any of these into the calculator above to see live cost estimates.

Greeting

Tiny
“Hello! How are you today?”
7
Tokens
5
Words
22
Chars

Casual one-liners use very few tokens — great for testing or simple commands.

Code Review Request

Small
“Please review this JavaScript function and suggest improvements for readability, performance, and error handling. Focus on edge cases and best practices.”
31
Tokens
25
Words
182
Chars

Short instruction prompts. Ideal for focused, single-task requests.

System Prompt

Medium
“You are an expert software engineer specializing in TypeScript, React, and Next.js. You write clean, type-safe, and well-documented code. When answering questions, always explain your reasoning, mention edge cases, and provide multiple approaches when relevant. Avoid deprecated patterns and prefer modern best practices from the 2024 ecosystem.”
62
Tokens
55
Words
374
Chars

Typical system prompt. Keep system prompts under 200 tokens to save cost at scale.

Document Analysis

Large
“Analyze the following quarterly earnings report and extract: (1) total revenue, (2) YoY growth percentage, (3) top 3 revenue segments, (4) key risks mentioned, (5) management guidance for next quarter. Provide a concise executive summary in 3–5 bullet points. Format numbers with commas and use USD. If data is missing, say "Not reported" rather than guessing.”
80
Tokens
68
Words
476
Chars

Structured extraction prompts tend to use more tokens. Being specific reduces hallucinations.

Tokens-to-Words Rule of Thumb
For English text: 1 token ≈ 0.75 words or 1 token ≈ 4 characters. A 1,000-word essay is roughly 1,333 tokens. A 10-page PDF (~5,000 words) is roughly 6,650 tokens. Code is typically denser — 1 token ≈ 2.5–3 characters.
~133 tokens
100 words
~1,333 tokens
1,000 words
~13,333 tokens
10,000 words

What Is a Token in AI?

A token is the basic unit of text that an AI language model reads and generates. Tokens are not always full words — they can be word fragments, punctuation marks, or even single characters, depending on the tokenization algorithm the model uses.

Modern large language models (LLMs) like GPT-4, Claude, and Gemini use a technique called Byte-Pair Encoding (BPE)to split text into tokens. Common short words like “the”, “is”, and “a” are usually one token each. Longer, less common words like “tokenization” may split into 2–3 tokens.

  • “Hello” = 1 token
  • “tokenization” = 3 tokens (token + ization + ...)
  • “ChatGPT” = 3 tokens
  • A space before a word often counts as part of that token

Why Tokens Matter for Cost

AI API pricing is based on tokens, not words or characters. You are charged separately for input tokens (your prompt) and output tokens(the model's response). Output tokens are typically 2–5× more expensive than input tokens because generation is more computationally intensive than reading.

Example: GPT-4o pricing
Input: $2.50 per 1M tokens
Output: $10.00 per 1M tokens
A 500-token prompt + 200-token response = $0.0033 per call
At 10,000 calls/day = $33/day

Use the calculator above to estimate your exact costs before committing to a model.