Accurate Tokenization
Get precise token counts using OpenAI's BPE tokenizer compatible with GPT-3.5, GPT-4, and other models.
GPT Tokenizer
Tokenize text for GPT models with real-time token counting, cost estimation, and token visualization.
100% FreeMultiple GPT modelsCost estimation
Token counter
Count GPT tokens, estimate cost, and inspect every chunk.
Prompt input
126 chars · 22 words
Tokens25
19.84 / 100 chars
gpt-5
Characters126
Context used0.01%25 / 400,000
Input cost$0.000250
Cost breakdown (per request)
Input$0.0002500.0250¢
Output$0.0007500.0750¢
Cached input—
Cached output—
Updated live
Capabilities
What this tool handles
Use GPT Tokenizer to check the input, tune the settings, and copy a clean output.
Real-time Counting
See token counts update instantly as you type, with support for multiple GPT model variants.
Cost Estimation
Estimate API costs for input and output tokens based on current OpenAI pricing.
Workflow
Run it in three steps
Tokenize text for GPT models with real-time counting and cost estimation in three simple steps.
1
Select GPT Model
Choose the GPT model you want to tokenize for: GPT-3.5 Turbo, GPT-4, GPT-4 Turbo, GPT-4o, or GPT-4o Mini.
2
Enter Your Text
Paste or type your text into the input area. Tokenization happens in real-time as you type.
3
View Results
See token count, cost estimates, and optionally view the token array. Test decoding to verify tokenization.
Good for
Common jobs this tool supports
Accurate TokenizationUses OpenAI's BPE tokenizer compatible with GPT-3.5, GPT-4, and other models
Real-time CountingGet instant token counts as you type, with support for multiple GPT model variants
Cost EstimationEstimate API costs for input and output tokens based on current OpenAI pricing
Free Forever100% free tool with no limits or registration required
FAQ
Answers before you run it
Practical notes about output, privacy, and common settings.
Token counts help estimate prompt size, context limits, and rough API cost before sending text to a GPT model.
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