AI Token & Cost Calculator
Tokens se words convert karein aur apne AI API bills (OpenAI, Gemini, Claude) ko estimate karein. Smart budgeting for the AI era.
Market Rates Comparison (Per 1M Tokens)
| Model Name | Input Price | Output Price |
|---|---|---|
| GPT-4o | $5.00 | $15.00 |
| GPT-3.5 Turbo | $0.50 | $1.50 |
| Claude 3.5 Sonnet | $3.00 | $15.00 |
| Gemini 1.5 Pro | $3.50 | $10.50 |
AI Tokens Kya Hain Aur Inhe Calculate Karna Kyun Zaroori Hai?
Agar aap Large Language Models (LLMs) jaise ChatGPT, Claude, ya Gemini use karte hain, toh aapne "Tokens" ka naam zaroor suna hoga. At thebigupdate.com, humne yeh tool isliye banaya hai taaki aap asani se samajh sakein ki aapke content ki cost kitni hone wali hai.
1. Token vs. Word: Kya Farak Hai?
Bahut se log confuse hote hain ki 1 token matlab 1 word hota hai, par aisa nahi hai. Generally, 1000 tokens lagbhag 750 words ke barabar hote hain. Tokens words ke "chunks" hote hain. English mein ek average word lagbhag 1.3 tokens leta hai. Agar aap Hindi use kar rahe hain, toh token consumption aur bhi zyada ho sakta hai kyunki tokenizer script ko breakdown karta hai.
2. API Pricing Ko Budget Kaise Karein?
AI development mein sabse bada kharcha API calls ka hota hai. Jab aap GPT-4o ya Claude Opus jaise high-end models use karte hain, toh input aur output tokens ki cost alag hoti hai. Hamara calculator aapko ek comprehensive "Annual Estimate" aur "Per Million Token" cost dikhata hai, jo enterprise solutions ke liye bohot critical hai.
3. Optimized Prompting Se Paise Bachayein
Token usage kam karne ke liye hamesha concise prompts likhein. Jab aap purani chat history bhejte hain, toh tokens exponentialy badhte hain. Is tool ka use karke aap check kar sakte hain ki aapka ek lamba context window kitna costly pad sakta hai.
Note: Yeh calculator 75% word-to-token ratio standard follow karta hai jo industry mein most accurate maana jaata hai.
AI Token FAQ
Q1. 1 Million Tokens mein kitne words hote hain?
Average industry standard ke mutabiq, 1 million tokens mein lagbhag 750,000 words hote hain. Yeh English language ke liye valid hai.
Q2. Kya Hindi tokens English se zyada mehange padte hain?
Price per token same rehti hai, lekin Hindi text ko tokenize karne mein zyada tokens lagte hain, isliye overall cost Hindi content ke liye English se 2-3x zyada ho sakti hai.
Q3. Input aur Output tokens ka rate alag kyun hota hai?
Models ko generate karne mein zyada computation power lagti hai, isliye Output tokens hamesha Input tokens se 3x mehange hote hain.
Pro Tips for Developers
Tokenizer Library Use Karein
Python mein 'tiktoken' library ka use karein exact token count janne ke liye code bhejne se pehle.
Set Billing Limits
OpenAI aur Gemini dashbaords par monthly budget alerts set karein taaki billing surprise na mile.