Token Counter
Live token counts and cost estimates for popular LLMs.
ExactProcessed locally
Total Tokens
0
Exact
Characters
0
Words
0
Tokens/Word
0.00
Cost Comparison
Per-model token counts and input cost estimates
| Provider & Model | Tokens | Rate / 1M | Est. Cost |
|---|---|---|---|
| Enter text to see live token and 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.
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