Up next in 10
Free LLM API 😱 No API Key, Unlimited FREE DeepSeek & TinyLlama API (No Limits, 100% Free)
Apr 30, 2026
https://mlvoca.github.io/free-llm-api/
Buy the full source code of application here:
https://procodestore.com/index.php/product/build-your-own-chatgpt-bot-clone-in-browser-free-unlimited-api-for-claude-gpt-no-limits-2026/
Watch My Visual Studio Code IDE Setup Video For Fonts,Themes & Extensions
https://youtu.be/Bon8Pm1gbX8
Hi Join the official discord server to resolve doubts here:
https://discord.gg/cRnjhk6nzW
Visit my Online Free Media Tool Website
https://freemediatools.com/
Show More Show Less View Video Transcript
0:00
Hello guys, in this video I will
0:02
actually show you I built I recently
0:04
found out this free open source
0:07
LLM API which allows you to make API
0:10
request without requiring any kind of
0:13
API key. So, this I recently find it on
0:17
GitHub. Somebody has built this API from
0:20
scratch. It supports two models,
0:22
DeepSeek and LLM
0:25
which is models which is developed by
0:28
Facebook TinyLlama. You can see that
0:31
this model.
0:32
So, this is a simple open source LLM
0:35
API.
0:36
It doesn't have any kind of
0:37
restrictions. It supports multiple API
0:40
calls you can make without having to
0:42
worry about any kind of subscriptions.
0:45
So, this is their home page. So, the
0:47
base URL is quite simple. You can see.
0:50
They have given this documentation. Two
0:52
models are supported, TinyLlama and
0:54
DeepSeek 1.5 billion parameter.
0:57
So, it's not a very
0:59
uh
1:00
advanced models, but still it
1:03
uh is really awesome
1:05
to actually make
1:07
a curl request to this free LLM API. So,
1:10
they have given this documentation. You
1:12
can directly make this curl request.
1:14
Uh let me show you
1:18
the verification of this. You can go to
1:20
any tool right here to actually
1:24
run this curl command. If I click the
1:27
run button,
1:28
you will actually see I simply ask the
1:30
question right here passing this model
1:32
name and asking this question.
1:35
And now you will see the response will
1:37
be coming. You will see the API has
1:39
returned this response. You can see that
1:41
model.
1:42
And this has returned this successfully
1:45
this response. We can even change the
1:47
model name.
1:53
And also you can see
1:56
all this response will be coming right
1:58
here.
2:00
So, these two models are supported. It's
2:02
completely unlimited. There is no
2:03
restriction to do it. As you see that no
2:06
API key is required. You simply make the
2:08
request and with the help of this API
2:11
you will be able to make any kind of
2:12
chatbot, very basic chatbot really
2:15
easily rather than searching on Google.
2:18
I built out a simple chat prompt chatbot
2:21
using this API. So, as you can see
2:25
this is
2:26
entirely built using this API.
2:30
So, let me show you we are making this
2:31
post request as you see that
2:34
to this API, LLM API as you can see
2:36
that.
2:37
This is actually a chatbot similar to
2:40
ChatGPT and Claude the user interface.
2:43
So, right here you can ask any sort of
2:45
question and we have the chat
2:48
prompt here. And here you can switch the
2:50
models from here, TinyLlama or DeepSeek.
2:53
Let me select DeepSeek and from here you
2:55
simply can ask any sort of question
2:58
right here. Let's suppose I say build a
3:00
image to PDF web app
3:03
in browser. So, you simply ask the
3:06
question. It will
3:07
You can see we are running this
3:08
application locally because we are
3:11
simply making that uh REST API call.
3:13
And it doesn't have any sort of
3:15
restriction. It's completely unlimited.
3:17
And it's first of all first of all as
3:19
you can see it is thinking about the
3:20
response and then it will return the
3:22
response to you.
3:24
The full source code of this.
3:28
So, it's a really insane LLM API. With
3:30
the help of this you can make build any
3:32
kind of chatting bot.
3:41
So, you can see it first of all thinks
3:43
about this.
3:46
And then it returns the response.
3:56
So, this is
3:58
actually a
3:59
really ta-
4:00
very small API, but it definitely 100%
4:04
works.
4:05
So,
4:08
I've given the link in the description
4:09
of the video. You can go to this, read
4:11
the documentation.
4:13
And similarly you can build out You can
4:16
see now it actually generated the actual
4:18
source code for you.
4:23
So, it's completely free. We We are not
4:25
using any kind of API key as opposed to
4:27
other APIs. It's completely free and
4:30
limited 100%.
4:32
So,
4:33
you can see that.
4:36
I have also given this source code as
4:38
well if you need to purchase it uh
4:40
to build out this chatbot. I've given
4:43
both the links in the description of
4:44
this video.
4:45
From here you can even switch the model
4:48
as well.
4:52
So, you can see it's actually generating
4:54
the source code for you.
4:56
So, it's act-
4:57
it's executing directly in the browser.
5:00
So, there is no easy to actually deploy
5:03
this chatbot as well.
5:05
A single file is there. So, it also
5:08
generates the description of this web
5:11
application as well. So, all these
5:13
responses are returning
5:16
from the API and then we are parsing
5:18
that response and displaying it in the
5:20
chat prompt. You can even ask let's
5:22
suppose
5:24
a simple question of
5:26
capital of USA.
5:29
Simple questions you can even ask. It
5:31
will
5:35
You can see that.
5:39
You can ask any sort of question and it
5:42
instantly replies as you see that.
5:45
So, it can be a great chatbot.
5:48
So, all we are simply making the REST
5:50
API call to this API. It's a free LLM
5:54
API. Definitely check this out.
5:56
And uh all the links I've given in the
5:58
description of this video.