A unified free LLM API repository aggregates free tokens from multiple providers (Google, NVIDIA, Mistral, OpenRouter, etc.) into a single API key, providing approximately 1.3 billion free tokens per month through one OpenAI-compatible endpoint, enabling developers to access multiple LLM services without managing individual API keys.
Deep Dive
Prerequisite Knowledge
- No data available.
Where to go next
- No data available.
Deep Dive
How to get Free 1 Billion LLM API Tokens ?Added:
So, hi everyone. Welcome back to Data Science in your pocket. And today we are talking about a very interesting GitHub repo that gives you 1 billion free LLM tokens. Yes, you heard it right. So, the core idea of this GitHub repository that is free LLM API is to unify all the free APIs across the globe. So, Gemini provides you with certain tokens, NVIDIA provides you with certain tokens, etc. etc. Now, under this particular GitHub repo, what they have done, they have unified everything into one API key. So, you you create one simple API key that is free to create, and then can use all the free tokens that counts up to 1 billion tokens. Hence, you can use any API for free for 1 billion tokens that are free.
One open AI compatible endpoints, 12 free LLM providers, 1 billion plus tokens per month. Be it Google, Grok, Cerebras, SambaNova, NVIDIA, Mistral, OpenRouter, GitHub Copilot, etc. Whomever is providing the free API keys are unified under one code now, which is very interesting. These are the supported providers. And now you you can add up to roughly 1.3 billion tokens per month without paying a single penny.
Crazy world.
As you can see, what are the features?
Open AI compatible, streaming and non-streaming, tool calling, automatic follower, per key rate tracking, sticky sessions, encrypted key storage, unified API key, health checks, admin dashboard, analytics run where Node 20+ runs.
It has multiple features and it's open AI compatible. That's the best part.
Hence, you don't need to write any special codes for this tool.
So, these are certain things that are not supported yet for image generation or audio speech, but for text you are getting 1.3 billion tokens for free.
So, how to get started? These are the codes, very easy. Just copy-paste this straight away in your Linux or in your Mac OS or in Windows. So, in Windows the command would change a bit.
I'll show you that. Once you are done, you need to click on this particular URL, localhost:5173. Once this gets hosted. So, I have already tried it out.
So, if you check here, this is the Windows code that you need to learn to get it done in your Windows system.
To get this GitHub repository installed.
Once done, now as you can see on my screen, once I clicked on a localhost, here's a playground that has come up and on the key side, you get your unified API key, which is very easy to get. You just need to copy this API key. You can regenerate, can do multiple things. You can also provide your add a provider API key also. And once done, just go this side and use this command.
free LLM API key. Just copy-paste your API key here. So, if you switch back, add a provider key. So, for Google, Groq, Serverless, someone over Nvidia, name is Trail. Add your API keys here and rest of things would be taken care by this free API LLM GitHub repo. So, you need to create your API keys from different platforms.
This is just unifying it. Do remember that. You need to create your API keys, paste it here and then you get a single API key for usage. And then once you run this command, you would be able to get the uh LLMs ready for you. Just mention the model name. If you mention it as auto, then it will be picking up randomly from whatever API keys that you have mentioned here.
So, in this way you can use about 1 billion plus tokens for free. For paid LLMs, uh with just using free LLM API key, this GitHub repo. Create your free API keys across different platform providers and then mention them here, add the keys and yes, you get started with 1.3 billion tokens for free. Thank you so much. I hope you have a great day.
Related Videos
OpenHuman VS Hermes AI: Who Wins?
JulianGoldieSEO
285 views•2026-05-29
BREAKING: Microsoft’s New Image Generating Model Beat Out GPT 1.5 and Nano Banana 2
aimmediahouse
122 views•2026-06-03
Long-Running Agents — Build an Agent That Never Forgets with Google ADK
suryakunju
142 views•2026-05-30
This computer is made from real human brain cells. And you can buy it.
Talktmsmedia
3K views•2026-05-28
I Made the Same Anime Fight Scene in Every AI Video Generator
NobleGooseAnime
295 views•2026-05-30
Nvidia Bets Big On AI PCs | New Chip To Power Windows Laptops | Technology | AI Updates | N18S
cnnnews18
3K views•2026-06-01
I Tested NEW Opus 4.8 on Four Projects (Updated LLM Leaderboard)
AICodingDaily
298 views•2026-05-29
3D Platformer Update - NO CAPES
SolarLune
294 views•2026-05-30











