AI Token Counter & Tokenizer
Support for GPT-4o, Claude 4, Gemini 1.5 Pro, Llama 4, DeepSeek-R1, Qwen3 and other leading models
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Tokenizer Types:
- OpenAI models - Native js-tiktoken (most accurate)
- 🤗 models - Hugging Face community tokenizers (very good approximation)
- ⚠️ models - GPT-4 tokenizer estimation
- Community tokenizers are reverse-engineered but quite accurate
- All tokenizers now run locally in your browser!
Business Guide: Token Optimization & Cost Control
💰 API Cost Estimation
Understanding token counts is crucial for cost management. For example:
- GPT-4o: $15/1M input tokens - A 1000-token prompt costs ~$0.015
- Claude 3.5 Sonnet: $3/1M tokens - Same prompt costs ~$0.003
- Gemini 1.5 Pro: $1.25/1M tokens - Same prompt costs ~$0.00125
Use our calculator to estimate costs before scaling your application.
🎯 Business Scenarios
- Content Generation: Pre-calculate token limits for blog posts, marketing copy
- Customer Support: Optimize chatbot responses to stay within context windows
- Document Analysis: Chunk large documents efficiently for processing
- API Integration: Validate input size before expensive API calls
⚡ Optimization Strategies
- Model Selection: Use cheaper models for simple tasks, premium for complex ones
- Prompt Engineering: Shorter, more specific prompts often yield better results
- Context Management: Monitor conversation length to avoid hitting limits
- Batch Processing: Combine multiple requests to reduce overhead
💡 Pro Tip:
Different tokenizers can produce 20-40% variation in token counts for the same text. Test with your target model's tokenizer for accurate cost estimation.