AI Token Counter
Text paste karo — tokens, words aur API ki approx cost turant dekho. ChatGPT, Gemini, Claude, GLM sab ke liye.
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Est. Tokens
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Words
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Characters
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Lines
ASCII: 0 · Hindi/other: 0 · CJK: 0
Popular models par approx cost
| Model | Rate in (per 1M tok) | Rate out (per 1M tok) | Input cost (ye text) | Output cost (itna jawab) |
|---|
Rates approx hai (USD / 10 lakh tokens per) aur companies badalti rehti hai — final decision se pehle provider ki site se latest rate dekh lena. Token estimate method neeche Methodology me likha hai.
Methodology — token kaise estimate karte hai
Har model ka apna private tokenizer hai, exact count offline possible nahi. Isliye tool industry-standard approximation use karta hai:
- English/ASCII text → 4 characters = 1 token (OpenAI ka well-known rule)
- Hindi (Devanagari), em-ji aur baaki scripts → 1.5 characters = 1 token
- Chinese/Japanese (CJK) → ~1 character = 1 token
- Agar text bilkul empty hai to 0, warna minimum 1
Isi methodology par cost table bhi banta hai. Production decision ke liye provider ke official calculator se confirm kar lena best rahta hai.
Frequently Asked Questions (FAQ)
AI models (ChatGPT, Gemini, GLM waghera) aapke text ko seedhe words me nahi, chhote-chhote pieces me todte hai — us piece ko token bolte hai. Ek chhota word aksar 1 token hota hai, bade ya Hindi words 2-3 tokens ban sakte hai. AI ki limit aur API ka paisa dono tokens me count hote hai.
Aap apna text paste karo aur turant pata chal jata hai — kitne tokens banenge, kitne words hai, kitne characters hai aur popular AI models (GPT-4o, GPT-4o mini, Claude Sonnet, Gemini Flash) par bhejne ka approximate kitna kharcha aayega. Sab kuch second me, bina login.
Nahi — ye ek smart estimate hai. Har AI model ka apna tokenizer hota hai, isliye exact number halka sa upar-niche ho sakta hai (approx 10% tak). English text ke liye hum 4 characters = 1 token ka rule use karte hai, Hindi/japanese-Chinese ke liye alag hisaab — jo is page ke Methodology section me likha hai. Paise ka plan banane ke liye ye estimate bilkul kaafi hota hai.
AI tokenizers English text ko sabse compact padhte hai (4 chars = 1 token). Devanagari (Hindi) aur Chinese-Japanese text ko wo pieces me zyada toda jata hai — isliye same baat Hindi me likhne par tokens zyada lagte hai. Aapke text me non-English characters ka breakdown tool alag dikhata hai taaki pata rahe tokens kyun badhe.
Bilkul nahi. Pura counting aapke browser me hi chalta hai (JavaScript se) — aapka text server par kabhi nahi jata. Aap API keys, passwords ya confidential code bhi safely check kar sakte ho.
Tool aapke tokens ko popular models ke published rates se multiply karta hai: input cost = tokens × (rate per 10 lakh tokens ka rate ÷ 10 lakh). Rates JS me constants ki tarah hain aur table me model-wise dikhte hai. Ye rates approximate hai — AI companies beech me rates badal deti hai, isliye kharcha final karne se pehle provider ki page se latest rate zaroor check kar lo.
Haan, 100% free hai. Login ki zaroorat nahi, na koi limit hai. Jitni baar chahe utni baar alag-alag text paste karke check karo — mobile aur desktop dono par chalti hai.
English text me aam taur par 500 words = 650-700 tokens. Rule yaad rakhna easy hai: 1 word ≈ 1.3 tokens, ya 4 characters ≈ 1 token. Hindi text me wahi 500 words 1000+ tokens tak ja sakte hai — isliye Hindi content pehle counter se check karna achha rahta hai.
Har model ka context window alag hai — jaise chhote models 8K-32K tokens tak, bade model 1-2 lakh (1M) tokens tak samajhte hai. Aap prompt + document + AI ka jawab — teeno isi limit me fit hone chahiye. Jarurat se lamba text dalne par model peechhe ka bhool jata hai ya error deta hai — isliye pehle count kar lena smart hai.
Filhaal tool text-based counting karta hai — paste kiya hua text (ya file ka copy-paste kiya content) measure hota hai. Images ka token-count alag formula se hota hai (resolution par depend karta hai) jo future me add ho sakta hai. Abhi ke liye file kholo, text copy karo aur paste karke count karo.
3 asaan tarike: (1) prompt me faltu baat mat likho — seedhi baat karo, (2) bade documents ka sirf zaroori part paste karo, (3) jawab chhota manglo ("3 lines me batao"). 100 lakh (10M) tokens/month API use karne wale ke liye ye chhoti-chhoti cheeze month ke lakhon rupaye bacha deti hai — aur AI ne bhi aukaat-friendly jawav dene ki koshish me hi bade models ka cost reflect hua hai.