Ling 3.0: New FREE Chinese AI!

Today, we're going to run through Ling 3.0 Flash, which is a new mixture of experts, model 124 billion parameters, 5 billion active per token. This is a new free API you can get access to on OpenRouter. And the good thing about this is that it's actually performing pretty well on the benchmark. So I'll show you what we created in a second, if you want to see how it performs.

So in terms of benchmarks here, you can see it's actually outperforming DeepSeek V4 Flash again. We've tested it out. I'll show you some examples in a second. And it's also crushing chat GPT on some of the benchmarks like SWE Multilingual, Terminal Bench, and Wide Search.

Again, you always want to test stuff out yourself. Don't just believe all the benchmarks. You can get access on OpenRouter for free. You can also get free access via Hermes, which I'll come onto in a second too.

And this is the new free model. Now, if we have a look inside the apps in terms of what it's being used the most with, it's Aquila Code, Hermes, Agent, Cloud Code, OpenCore, and Pi. Are all being actively used with Ling 3.0. So it is a very popular model.

And when we actually test it outside the chat, it's not bad at all. So if you go to the chat inside of OpenRouter here, you can just select the model that you want to use. And here's the HTML. The one thing that I noticed is that it's a lot faster.

It's also 250 context window, which you might think is a bit low, or you might even think like the 124 billion parameters is pretty low. So Ling have actually come out and said with one eighth of the total and one twelfth of the active parameters, it matches or beats their one trillion flagship model on most benchmarks. They've also demoed some examples with Blender MCT, which we'll show in a second. So let's see how it performs on the benchmarks here.

So this is a website we actually created with a one-shot prompt. Super basic, just said like create a beautiful website for an SEO agency. And you see here, it's like, it's actually pretty decent. I've seen a lot worse from free models.

I wasn't expecting it to be as good as that. And bear in mind, it's just one shot. So you can change it, you can tweak it, you can switch out if you want. The links at the top actually work.

I mean, it is using those generic sort of place markers for testimonials and that sort of thing. One thing that would be pretty good is like, it can actually code. It can do a decent job on front end. What you can do is give it a skill like hallmark on Git.

This is like an anti AI swap design skill. And then it could actually create like pretty nice designs for you, I think. We have a look at some of these examples it's created. You can see here that it can actually connect to MCPs so you could train it to use an MCP like Blender.

And then it can create like 3D models for you. It's also supposed to be pretty good at research, office work and that sort of thing. We can also compare it side by side versus chat GPT. So let's try that right now.

And we can compare the outputs side by side in a second. If you're wondering how do you use it with something like Hermes agent? So you can go over to the terminal here. Then we can select Hermes model.

From here, you just want to select news portal, log in like so, just switch to the free plan. Now we're connected on the free plan. And then if we go back to the terminal here, we can choose one of the free models. It's actually a bunch of free models, but we're going to go with Ling 3.0 Flash.

Then we'll run that. And you can see it's actually working now with Ling 3.0 Flash for free. So if we just do a random example like forward slash learn, and then we'll give it an example guide. Let's try this one.

So let's run a test command right here. Just had to update Hermes. I'm on a separate laptop right now. And now you can see it's fetching the guide and it's using learn to help us.

So good thing as well, like it's a faster API and it's pretty quick to respond. You can also use it inside Kilo code. So if you scroll down here, you can select Ling 3.0 Flash and start giving Kilo code an app idea to build. So let's try this now.

And if we come back to Hermes agent here, you can see that it's created the skill with the forward slash learn feature. That was pretty quick. Actually works pretty well. So the app has been built inside Kilo code as well.

And once that's been done, let's go over to open route. And this is the output from GPT 5.6 Sol. From let's test out the one from Ling Flash and compare them side by side. So if we add a new habit, this is a Ling 3.0 version.

Assess this out, select a category. So the app actually works. It's not bad. I mean, I would still say, of course, GPT 5.6 Sol's version looks nicer.

Let's test if it actually works. So this one looks a bit nicer on the front end, but they're both functional and there's not a huge difference between them. Plus the menus work, the tracking works. It's a fully functional app, built in one shot.

We've also got the output back from Kilo code for the app. So this was built for free with Ling 2.0. And if we test this out, Spaghetti 5000 calories, boom, shakalaka, actually worked. So you can see, it shows us how many was consumed.

Again, like the front end is not that great, but for the back end, it's pretty good. And then you can use a front-end model like GPT 5.6 Sol, or code to improve it. So you can get free access via a router, by Kilo code, by an agent. And these are all free ways that you can use Ling 3.0 Flash.

It's pretty good. I mean, every single output works properly, just not that great on the front end. But you can actually teach it skills to improve that like Hallmark and that's a free open-source skill that you can use to improve the designs. So thanks so much for watching.

That is a free way to use Ling 3.0 across three different ways. If you want to get more training on this sort of stuff, feel free to check out the AI Profitable Boarding. We've got loads of free trainings on how to use different APIs, how to use OmniRoot, how to use free local models. And we have a full agentic operating system that you get for free inside the AI Profitable Boarding as part of the community once you join.

Link in the comments description or just go to theaiprofitableboarding.com. Inside the community, you can ask questions, get help and support, I create a video tutorial, helping people out daily. And it's just an awesome collection of great people inside there. Inside the classroom, you get access to all my best trainings on this sort of stuff.

So if you like free stuff, you'll probably like our training on how to run an agentic operating system for free, token minimization, and also OmniRoot. Inside the calendar, you can jump away from coaching calls, get help and support in real time, ask questions, et cetera. And inside the map, you can meet people in your local area who are building with AI agents like you. In addition, we actually have over 204 pages of testimonials of wins and people absolutely loving the group.

So it's just a great place full of positivity and people learning, growing, supporting each other, helping each other out. Great way to meet people as well. So feel free to get it. Link in the comments description or just go to theaiprofitableboarding.com.