9 Billion Tokens ka asal hisab — OmniRoute + FreeLLMAPI

Ye wali reel — yahin dekh lo

Player na chale to: Instagram par reel kholo →

Pehle ye samajh lo — router hota kya hai?

Har badi AI company — Google, Groq, Mistral, OpenRouter aur dusri — apna ek free tier deti hai: kuch lakh tokens yahan, kuch hazaar requests wahan. Alag-alag ye chhote lagte hain, aur har ek ki alag API, alag key, alag limit hoti hai — isiliye zyadatar log inhe istemal hi nahi kar pate.

OmniRoute aur FreeLLMAPI dono router (gateway) hain — chhote open-source program jo tumhare apne computer par chalte hain. Tum inme apni khud ki free API keys ek baar jod dete ho, aur ye saare providers ko ek hi endpoint ke peeche khada kar dete hain. Tumhara tool sirf router se baat karta hai; router har kaam usi model ko bhejta hai jiska quota bacha ho — aur ek provider rate-limit mare, to chupchaap dusre par chala jata hai. Isi jod ko "9 billion free tokens" kaha jata hai.

// Dono projects open-source (MIT) hain — GitHub par inke yahi naam search karke official repo hi kholo

Repo 1 — OmniRoute · ~1.62B tokens/mahina

1. ~1.62 billion free tokens har mahine — ye iska "steady" hisab hai: jitne free tiers ye catalog karta hai, unke asal monthly quotas ka jod. Pehle mahine me kai providers ke one-time signup credits milakar ye ~2.22B tak ja sakta hai.
2. Scale bahut bada hai — 375 ke aas-paas providers (150+ free tier wale) aur 1,400+ models ek hi jagah se jud jate hain.
3. 95% bachat yahin se aati hai — OmniRoute tumhare bheje ja rahe text ko compress karta hai, jisse 15–95% tak kam tokens kharch hote hain. Reel wala "95% kam tokens" ka daava isi feature par hai — matlab wahi kaam, bahut kam kharch, to quota kai guna zyada chalta hai.
4. Imaandaar hisab — project khud kehta hai ki har rate limit ko 24 ghante ginne wala ~10B ka bada number woh publish hi nahi karta, kyunki woh sach nahi hota. Jo free pool kai models me share hota hai, use ek hi baar gina gaya hai.
5. Ek warning khud project deta hai — iske kuch providers (13 ke aas-paas) ko ye khud "ToS-flagged" mark karta hai: matlab un providers ki shartein is istemal ko saaf allow nahi karti. Project flag kar deta hai — istemal karna ya na karna, faisla tumhara.

Repo 2 — FreeLLMAPI · ~7.4B tokens/mahina

1. ~7.4 billion free tokens har mahine — iske catalog ke saare free tiers ka kul jod. 9 billion wale number ka sabse bada hissa yahi hai.
2. 34 free providers — Google, Groq, Cerebras, Mistral, OpenRouter, Cloudflare, Cohere, NVIDIA, Hugging Face aur kai dusre — sab ek hi endpoint ke peeche.
3. 635 free model endpoints, 474 model families — chat se lekar embeddings aur video tak. Catalog khud update hota rehta hai, to naye free models apne aap jud jate hain.
4. Ek hi OpenAI-compatible endpoint — jo bhi tool OpenAI wali API samajhta hai (Claude Code samet kai coding tools), wohi bina badlav ke isse jud jata hai. Tumhari saari keys iske andar encrypted hokar surakshit rehti hain — bahar sirf ek unified key dikhti hai.
5. Smart routing + auto-failover — ek model limit mare ya down ho, to request khud dusre model par chali jati hai. Kaam rukta nahi.

To 9 billion bana kaise?

Hisab seedha hai, koi jaadu nahi:

1. OmniRoute — ~1.62 billion tokens/mahina (pehle mahine ~2.22B tak)
2. FreeLLMAPI — ~7.4 billion tokens/mahina
3. Kul jod — 1.62 + 7.4 = ~9.02 billion — yahi reel ka "9 BILLION" hai.
4. Upar se OmniRoute ki compression bachat (15–95%) is quota ko aur lamba kheenchti hai — isiliye lagta hai ki limit khatam hi nahi hoti.

Ek zaroori sach — jo reel nahi batati

Ye setup Claude Code jaise tools ka interface chalata hai, lekin peeche kaam Anthropic ke paid Claude models nahi karte — kaam hota hai free models se: Gemini, Mistral, DeepSeek, Qwen, GLM, Llama jaise models se. Matlab "Claude ke tokens" kehna aadha sach hai — coding ka tajurba Claude Code wala, dimag free models ka. Seekhne, practice aur side projects ke liye ye badhiya jugad hai; kisi client ke asal kaam se pehle quality khud parkh lena.

// Aur haan — dono jagah *OWN KEYS NEEDED*: tokens tumhare apne free-tier accounts se aate hain, koi website muft me baant nahi rahi

Try karne se pehle — Safety Checklist

1. Repo hamesha official hi kholo — GitHub par naam search karke asal repo (stars, purani history) pehchano; same naam ke nakli repos me malware ghusaya jata hai.
2. Keys sirf apni khud ki lagao — kisi aur ki API key ya kisi ke dwara bheji hui "ready-made" key istemal karna account ban aur kanooni dikkat dono la sakta hai.
3. ToS-flagged providers par dhyaan do — jinke niyam is istemal ko allow nahi karte, unhe router khud flag karta hai; phir bhi unhe chalana tumhara apna risk hai.
4. Kuch free tiers tumhare prompts ko apne models sudharne ke liye istemal kar sakte hain — isiliye free setup par personal data, passwords ya client ka code mat bhejo.
5. "Free tokens" ke badle jo site paisa, card ya OTP maange — woh in dono projects se alag scam hai. Dono asal projects free aur open-source hain.

Reel phir dekho

Upar wali reel phir dekho, video ka link copy karke comments me paste karo (jaisa reel me kaha gaya hai), aur @skillseekho.ai ko follow karo — aisi hi AI tricks roz milti hain, har ek ke saath uski poori guide yahin.

Reel Dekho → Aur Guides

Ye bhi padho — $6.3 Billion Heist

Ek fake job interview se duniya ke sabse bade crypto heists me se ek — poori kahani aur safety checklist is guide me hai.

Guide 01 Padho →