Token Counter vs. LLM Cost Calculator
Measuring how many tokens your text uses vs. estimating what an API call will cost.
AI Tools
Token Counter's core job is counting: how many tokens does your text use across different models, plus prompt optimization to reduce that count. LLM Cost Calculator takes token counts (input and expected output) and applies each model's published pricing to estimate actual dollar cost, including projecting that over a month or year of usage.
Token Counter
Best for
- Checking exactly how many tokens a prompt uses across models
- Checking usage against a model's context window limit
- Optimizing a prompt to use fewer tokens
Trade-offs
- Doesn't project ongoing dollar costs across a month of usage the way Cost Calculator does
LLM Cost Calculator
Best for
- Estimating the dollar cost of an API request or a month of requests
- Comparing pricing across several models side by side
Trade-offs
- You still need a token count to work from — it builds on the same measurement Token Counter provides
| Dimension | Token Counter | LLM Cost Calculator |
|---|---|---|
| Primary output | Token count | Estimated dollar cost |
| Includes | Context window check, prompt optimization | Per-model pricing, monthly/yearly projections |
Verdict
Start with Token Counter to know how many tokens you're actually using, then use LLM Cost Calculator to translate that into what it'll cost across the models you're considering.
Related tools
- LLM Token Analyzer & Prompt OptimizerCount tokens, estimate API usage, optimize prompts, and discover ways to reduce unnecessary token consumption.
- LLM Cost CalculatorEstimate and compare AI API costs based on tokens, usage, and model pricing.
- Context Window CheckerCheck prompt size against a model context window.