Use this free LLM token counter to quickly estimate GPT, Llama, and Gemini prompt size, track token usage, and understand API costs. Our privacy-first calculator works entirely in your browser.
Choose Your Model
Token Calculator
Supported AI Models & Tokenizers
GPT-4o Tokenizer
Uses the o200k_base encoding for OpenAI's most advanced model. Perfect for calculating GPT-4o API costs and context window usage.
GPT-3.5 / GPT-4 Tokenizer
Implements cl100k_base encoding used by ChatGPT, GPT-3.5-turbo, and GPT-4. Essential for OpenAI API development.
Llama 3 Tokenizer
Meta's Llama 3 tokenization for accurate token counting with open-source models including Llama 3.1 and Llama 3.2.
Gemini Tokenizer
Google's Gemini tokenization for Gemini Pro, Gemini Flash, and other Google AI models. Count tokens for Google AI Studio and Vertex AI.
Common Use Cases
🔧 API Development
- • Calculate OpenAI API costs before sending requests
- • Optimize prompts to fit within context windows
- • Debug tokenization issues in your applications
- • Estimate costs for different model choices
📊 Research & Analysis
- • Compare token efficiency across different models
- • Analyze prompt engineering effectiveness
- • Study tokenization patterns in different languages
- • Benchmark model performance per token
💰 Cost Management
- • Budget AI project expenses accurately
- • Monitor token usage in production apps
- • Choose cost-effective models for your use case
- • Optimize prompts for better token efficiency
🎯 Prompt Engineering
- • Test different prompt formulations
- • Ensure prompts fit within model limits
- • Optimize for specific tokenization patterns
- • Compare prompt lengths across models
Master LLM Tokenization with Expert Guides
Dive deep into token counting strategies, API cost optimization, and prompt engineering techniques. Our comprehensive guides help developers maximize efficiency with GPT, Llama, and Gemini models.
📚 Complete Tokenization Guides
Master the fundamentals of LLM tokenization with our step-by-step tutorials and best practices.
- • Complete Guide to LLM Tokenization - Everything you need to know
- • GPT-4o vs GPT-4 Token Comparison - Choose the right model
- • Llama 3 Tokenization Deep Dive - Open-source model optimization
- • Google Gemini Tokenization Guide - Vertex AI best practices
🔧 Developer Resources
Practical guides for API cost reduction, prompt optimization, and production deployment strategies.
- • Reduce LLM API Costs by 40% - Proven cost-saving techniques
- • Prompt Engineering with Token Limits - Maximize context efficiency
- • Token Counter Performance Benchmarks - Speed and accuracy tests
Stay Updated on LLM Token Counting Best Practices
Get the latest insights on tokenization strategies, model comparisons, and cost optimization techniques.
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