Token Counter & Cost Estimator
Paste your prompt to count tokens and estimate API costs across GPT-4o, Claude, Gemini, and Llama. Set output length and monthly volume for production budgeting.
Average generated response length
| Model | Input Tokens | $/1M In | $/1M Out | Per Request | Monthly |
|---|
Pricing as of Q1 2025 — verify at provider pricing pages before budgeting. Token estimates are approximations (±10%).
Frequently Asked Questions
How are token counts estimated?▼
This tool estimates tokens using character-to-token ratios (roughly 4 chars/token for English). For exact counts, use tiktoken (OpenAI) or the Anthropic SDK tokenizer. Non-English and code text may vary by 10–20%.
Why is output cost higher than input?▼
LLM APIs charge more for output (generated) tokens because they require sequential GPU computation — each token depends on the previous one. Input tokens are processed in parallel. Output is typically 3–5× more expensive.
How do I reduce API costs in production?▼
Use a smaller/cheaper model for simple tasks, implement prompt caching (Anthropic), reduce output length with structured prompts, batch similar requests, and set max_tokens limits. Switching from GPT-4o to GPT-4o Mini can reduce costs by 97%.
What is the monthly estimate based on?▼
Monthly cost = (input tokens cost + output tokens cost) per request × requests per month. It assumes all requests use the same text you've pasted. Adjust the 'requests/month' field to match your production volume.
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