Tool Area
Token & API Cost Projections
Target LLM Model
Estimated Tokens43
Character Count163
1,000 API Batch Invocations
Input Tokens:$0.1075
Est. Output (2x):$0.8600
About this tool
Estimating API costs before deploying AI-powered features is critical for SaaS budgeting. This tool uses BPE (Byte Pair Encoding) token approximation to estimate the token count of any prompt and calculate projected API costs across the most popular LLM providers.
Token Approximation Method
Modern language models use Byte Pair Encoding (BPE) tokenizers. The average English token spans approximately 3.6–4.0 characters depending on the model vocabulary size:
tokens ≈ ⌈characters ÷ chars_per_token⌉
Pricing Models Included
- OpenAI GPT-4o — $2.50 input / $10.00 output per million tokens
- OpenAI GPT-4o-mini — $0.15 input / $0.60 output per million tokens
- Claude 3.5 Sonnet — $3.00 input / $15.00 output per million tokens
- Claude 3 Opus — $15.00 input / $75.00 output per million tokens
Output tokens are estimated at 2× the input token count by default — a reasonable approximation for most generation tasks. All calculations are client-side.