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LLM7 🚀 Get FREE API Credits | Unlimited FREE Claude Opus, GPT, Gemini APIs (OpenAI Compatible
Jun 1, 2026
https://llm7.io/
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0:00
Hello guys, in this video I will
0:02
actually show you another website for
0:04
getting free API key and credits. It's
0:06
called as llm7.io.
0:09
If you go to the website, I've also
0:10
given the link in the description. So,
0:12
it's a unified llm API for different AI
0:16
models.
0:17
And
0:19
you can simply check out their landing
0:21
page right here. If we do the flash
0:23
example is also given.
0:25
I will simply copy this example. It's
0:27
inside Python.
0:29
This makes it easy for you to actually
0:31
execute this.
0:33
So, I will paste this code
0:34
and directly show how to get the API
0:36
key.
0:37
So, once you do that, you click on
0:40
get free API key.
0:42
And you just sign up using your Google
0:45
account. It's very easy.
0:47
And after you authenticate, you will be
0:49
redirected to dashboard area.
0:54
So, right here
0:58
click on add API key.
1:04
And simply copy this API key to
1:05
clipboard and
1:08
right here inside this example,
1:10
we paste this API token directly.
1:15
So, we are simply calling tell me a
1:18
short story about brave squirrel.
1:21
And it's using the default model.
1:24
So, we go to the terminal directly.
1:29
Execute this Python script right here.
1:33
It will make the API call to the backend
1:36
API.
1:40
I've given the link of this website in
1:42
the description of the video. You can go
1:44
to this.
1:47
Once you execute this
1:57
in the meantime, let me show you.
2:00
This is
2:02
how you get the very very simple
2:05
interface. This is the dashboard area.
2:08
You can upgrade to pro subscription as
2:10
well for more API access. Just $12 off
2:13
month. You click on subscribe
2:16
and then you can check out.
2:18
But we are inside on the free plan. So
2:20
as you can see, the API returned this
2:22
response to us.
2:23
A story about squirrel. It returned the
2:26
professional looking response.
2:28
And
2:29
in this easy way, you can even integrate
2:31
through a extension called as RuCode.
2:34
I have installed this extension, so this
2:37
makes it easy for you to
2:39
run API models directly inside VS Code.
2:43
So you go to the configuration section,
2:45
select from here OpenAI compatible
2:47
inside API provider,
2:49
and directly copy these links such as
2:51
the base URL.
2:57
And then you paste the API key. This is
2:59
the second way by which you can run this
3:01
API directly through VS Code.
3:03
In the background, it's using the latest
3:05
models such as Claude Opus, Gemini,
3:08
Cohere, DeepSeek.
3:10
As you pasted the API key, then you
3:12
simply
3:14
in the model section.
3:16
If it is not appearing, then there is
3:18
also a second extension which is Clin.
3:21
c l i n e This also does the same thing.
3:24
You open AI compatible,
3:27
paste your API key,
3:29
then your base URL.
3:33
And then you write the model name which
3:35
is default.
3:37
Click on that.
3:40
Simply send this request.
3:47
It's a very simple API, very fast. The
3:50
interface dashboard area is also very
3:52
simple, not complex at all. Right here,
3:54
all the usages will directly show here
3:56
how much tokens request you have make.
3:59
So, we have made two requests. 734
4:02
tokens have been consumed. So, it
4:04
directly shows you it's very transparent
4:07
website API. So,
4:15
So, I'm using it for past 6 months. So,
4:17
that's why I decided to make the video
4:19
on this
4:20
on nlm7.io.
4:27
So, you can see the API returned the
4:29
response to us.
4:30
Let me just tell it to create an
4:33
application.
4:36
Build a
4:37
image to PDF.
4:40
Create
4:42
complex app.
4:47
Just write the code.
4:49
Don't run it.
4:51
So, simply send the request right here.
4:53
We want a image to PDF
4:55
professional-looking application. I'm
4:56
telling it to create index.html file
4:59
inside the root directory and don't run
5:02
the applications. Just generate the
5:03
code.
5:04
And
5:07
Now, this will start generating the code
5:09
here.
5:15
So, you will see now the API will start
5:18
generating the code for us through this
5:20
extension.
5:21
Automatically will start writing the
5:23
code.
5:33
So, in this easy way, you can use this
5:35
API.
5:36
For the very first time, it will take
5:38
some time to run.
5:40
So, the process will remain the same.
5:42
It's very simple API. Definitely check
5:44
this out.
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