Token Counter
Estimate the token count and cost for various LLMs.
Total Tokens
0
Characters
0
Words
0
Tokens/Word
0.00
Cost Comparison
Calculating costs for the current input text
| Provider & Model | RATE / 1M TOKENS | ESTIMATED COST |
|---|---|---|
| Enter text and click Calculate to see cost comparison | ||
Common Use Cases for Token Counter
- API Cost Estimation: Calculate token usage before sending requests to OpenAI, Anthropic, or other LLM APIs to estimate and manage costs.
- Prompt Engineering: Optimize prompts by counting tokens to stay within model context limits while maximizing instruction clarity.
- Budget Planning: Forecast AI integration expenses by estimating token consumption for planned features and user interactions.
- Context Window Management: Ensure your input fits within model-specific token limits (e.g., GPT-4's 8K or 32K context windows).
- Batch Processing: Calculate total tokens for large-scale operations to determine batch sizes and parallel processing strategies.
- Model Comparison: Compare pricing across different LLM providers by standardizing cost calculations based on token count.