LLM Token Counter
GPT, Claude aur Gemini ke liye tokens type karte hi count karein. Aapke prompts aapke device se bahar nahi jaate.
Aapka text locally aapke browser mein tokenize hota hai aur kabhi upload nahi hota, par aise secrets ya production data paste karne se bachein jo aap apni machine ki clipboard par nahi chahte.
Apna token count pata hai? API cost estimate karein.
Token Counter ke baare mein
Yeh token counter dikhata hai ki aapka text major language models ke across kitne tokens use karta hai, aap type ya paste karte hi live update hota hai. OpenAI counts exact hote hain kyunki yeh wahi tokenizers chalata hai jo OpenAI ship karta hai — GPT-4o, GPT-4.1 aur o-series ke liye o200k_base, aur GPT-3.5 Turbo aur GPT-4 ke liye cl100k_base. Claude ko ek subword tokenizer (o200k_base) se estimate kiya jaata hai aur Gemini ko lagbhag chaar characters per token par — Anthropic aur Google ek browser tokenizer publish nahi karte, isliye current models ke liye dono approximate hain aur saaf-saaf labelled hain. Tokens ke saath aapko characters, words aur ek tokens-per-character ratio bhi milta hai, jo context window ke andar rehne ya prompt cost estimate karne mein kaam aata hai. Sab kuch locally aapke browser mein tokenize hota hai, isliye aap jo prompts paste karte hain woh aapke device par process hote hain aur kabhi aapke device se bahar nahi jaate.
Features
- o200k_base (GPT-4o, GPT-4.1, o-series) aur cl100k_base (GPT-3.5 Turbo, GPT-4) ke zariye exact OpenAI token counts
- Ek subword tokenizer ka istemaal karke approximate Claude counts, saaf-saaf labelled
- ~4 characters per token par approximate Gemini estimate
- Aap type ya paste karte hi live recount, bina kisi Run button ke
- Saath mein characters, words aur ek tokens-per-character ratio dikhaya gaya
- Exact-vs-approximate badges taaki aapko pata ho kaun se counts par bharosa karna hai
- Notes ya tickets ke liye har count ka one-click summary copy karein
- Poori tarah aapke browser mein chalta hai, bina kisi prompt upload ke
Token Counter kaise use karein
- Apna prompt text box mein paste ya type karein.
- OpenAI o200k, OpenAI cl100k, Claude aur Gemini ke liye live token counts padhein.
- Dekhein ki kaun se counts precise hain, exact aur approx badges check karein.
- Context usage aankne ke liye characters, words aur tokens-per-character stats use karein.
- Ek saath har count grab karne ke liye Copy summary par click karein.
Example
Input
Summarize this article in three bullet points.
Output
OpenAI o200k: 10 tokens (exact)
OpenAI cl100k: 10 tokens (exact)
Claude: 10 tokens (approx)
Gemini: 12 tokens (approx)
OpenAI counts exact hote hain; Claude aur Gemini approximate estimates hain.
Common errors aur troubleshooting
- Claude count mera Anthropic dashboard usage se bilkul match nahi karta. — Claude counts ko approximate maanein. Anthropic ek browser tokenizer ship nahi karta, isliye yeh tool Claude ko ek subword tokenizer se estimate karta hai; exact usage apne Anthropic console mein confirm karein.
- Gemini number baaki sab se zyada rough lagta hai. — Google ek browser tokenizer publish nahi karta, isliye Gemini ko lagbhag chaar characters per token par estimate kiya jaata hai. Use ek ballpark ki tarah lein aur jab precision zaroori ho to Google ke count-tokens endpoint se verify karein.
- Same text ke liye OpenAI o200k aur cl100k alag counts dikhate hain. — Yeh expected hai. GPT-4o aur o-series o200k_base use karte hain jabki GPT-3.5 Turbo aur GPT-4 cl100k_base, aur dono encoders text ko alag tareeke se split karte hain. Jis model family ko target kar rahe hain uska count padhein.
- Ek bahut lambe document ko recount karna slow lagta hai. — Har keystroke par bada text tokenize karna heavy hota hai. Counter sirf tab dobara compute karta hai jab text badalta hai; bahut bade inputs ke liye, agar browser atke to chunks mein paste karein.
Aksar pooche jaane wale sawaal
- Kya OpenAI token counts exact hain?
- Haan. Counter wahi byte-pair tokenizers use karta hai jo OpenAI ship karta hai — GPT-4o, GPT-4.1 aur o-series ke liye o200k_base, aur GPT-3.5 Turbo aur GPT-4 ke liye cl100k_base — isliye woh counts wahi hote hain jo OpenAI API charge karti hai.
- Claude aur Gemini counts approximate kyun mark kiye gaye hain?
- Current Claude aur Gemini models provider ke servers par tokenize karte hain aur ek exact browser tokenizer expose nahi karte. Claude ko ek subword tokenizer se estimate kiya jaata hai aur Gemini ~4-characters-per-token heuristic use karta hai, isliye dono ko approx label kiya gaya hai.
- o200k aur cl100k tokens mein kya farak hai?
- Yeh do OpenAI encodings hain. o200k_base, GPT-4o, GPT-4.1 aur o-series dwara use hota hai; cl100k_base, GPT-3.5 Turbo aur GPT-4 dwara use hota hai. Woh same text ko thoda alag tokenize karte hain, isiliye counts alag ho sakte hain.
- Ek token mein kitne characters hote hain?
- English text ke liye yeh lagbhag chaar characters per token aata hai, par yeh punctuation, whitespace, code aur doosri languages ke saath badalta hai. Tokens-per-character stat aapke exact input ka asli ratio dikhata hai.
- Kya mera prompt OpenAI, Anthropic ya Google ko bheja jaata hai?
- Nahi. Saari tokenization locally aapke browser mein bundled tokenizers ka istemaal karke chalti hai, isliye aap jo text paste karte hain woh aapke device par process hota hai aur kabhi kisi model provider ya ArrayKit ko upload nahi hota.
Related tools
- LLM Cost Calculator — Apne token counts se GPT, Claude aur Gemini API costs estimate karein.
- JSON to TOON — JSON ko TOON mein convert karein taaki LLM prompts mein kam tokens lagein.
- OpenAI API Tester — OpenAI Chat Completions API requests banayein, chalayein aur cURL, Python aur JavaScript ke roop mein copy karein.
- Anthropic Claude API Tester — Anthropic Claude Messages API requests banayein, chalayein aur cURL, Python aur JavaScript ke roop mein copy karein.
- Google Gemini API Tester — Google Gemini generateContent API requests banayein, chalayein aur cURL, Python aur JavaScript ke roop mein copy karein.
- Word Counter — Words, characters, lines, bytes aur token estimate live count karein.
Saare ArrayKit tools