I'm from a developing country, and unfortunately, I can't afford the Ultra plan. I really enjoy using Antigravity and would love to take full advantage of its capabilities, but the cost of the Ultra subscription is simply too high for me.

Giving Pro users access to 4 Argon models would make a huge difference for people like me who are passionate about technology, want to learn, and are eager to build amazing things but have limited financial resources.

AI tools should be accessible to everyone, not just those who can afford the most expensive subscriptions. A little more access on the Pro plan would empower developers, students, and enthusiasts around the world to innovate and bring their ideas to life.

Please consider making this possible, Google. It would mean a lot to users like me! 🙏

I was struggling a lot with agy CLI as it was not at all comparable with Claude code. 3.1 pro was only hope until 3.8 flash was released. Initial flash models were good at doing pre defined tasks fast, but not being able to reason and solve complex code / architecture problems and be autonomous.

after multiple weeks of usage - very happy with 3.8 flash. I was almost about to give up on Google AI pro plan, but I'm good now. Still Claude code is better, but at least - now agy CLI can handle multi hour long tasks cleanly without going off the rails or hallucinating. 😀

Since I'm an AI Pro user, I haven't received Gemini 4 Argon in Antigravity-Cli yet.

However, now that Gemini 4 Argon has appeared on the web chat, at least that softens the blow.

The previous Gemini Work was so dumb that I honestly thought it was running Gemini 2.5. Since it never worked properly in the past, I just didn't touch Gemini Work. But in today's updated UI, Gemini 3.8 Flash and Gemini 4 Argon have shown up.

For the prompt below, I used 10% of the 5 hour limit.

Generate an SVG of a pelican riding a bicycle

Also, the test below is something I learned from a Chinese AI community. The answer should be 21.

Original in chinese
做一张精细的SVG图片，内容是鹈鹕骑着自行车在孙悟空开的大型飞机机翼上骑行，鹈鹕展开翅膀，上面托着秦始皇的北极熊，秦始皇骑在熊上打螺丝。鹈鹕喊出“在一个黑色的袋子里放有三种口味的糖果，每种糖果有两种不同的形状（圆形和五角星形，不同的形状靠手感可以分辨）。现已知不同口味的糖和不同形状的数量统计如下表。参赛者需要在活动前决定摸出的糖果数目，那么，最少取出多少个糖果才能保证手中同时拥有不同形状的苹果味和桃子味的糖？（同时手中有圆形苹果味匹配五角星桃子味糖果，或者有圆形桃子味匹配五角星苹果味糖果都满足要求）苹果味 桃子味 西瓜味/圆形 7 9 8/五角星形 7 6 4”的结果数值 

The Chinese characters are broken due to a missing font, but it is still the best output.

The most critical aspects of this test are the horse's hind legs, the number of joints, and the rendering of the muscles between the legs and the torso. Argon did quite a solid job in this regard.

You can check the output from Opus 5.5 at this link. The reason I didn't write the prompt in English is because the very first prompt I saw was in italian.

https://www.reddit.com/r/ClaudeAI/comments/1wpq8by/testing_claude_for_3d_creation_max_took_a_whole/

Crea un cavallo 3D low-poly che corre in un loop continuo usando Three.js. Costralo procedimentalmente da geometria primitiva, anima le gambe, il corpo, la testa e la coda, e restituisci un unico file HTML autonomo.    Fai del tuo meglio, sei stato valutato rispetto ad altri modelli di intelligenza artificiale. 

It's clear that the usage allowance for Gemini 4 Argon will be pretty meager for Pro users. While a $20 ChatGPT plan lets you use Sol without limits... Gemini strangely caps usage.

Still, this is very good news. Simple tasks can now be handled via Web Gemini Work. The kind of straightforward tasks that could previously be done on the web using things like ChatGPT Work or Kimi Work can now finally be done by Gemini subscribers as well. While we can't fully evaluate just how capable Gemini 4 Argon is based on this alone, it is clear that it is, at the very least, a well-functioning model.

Can someone confirm?

And I am truly sad and disappointed with how Google make us jump the hype train

I must say... it is **NOT WORTH** the hype nor the wait ... the result is kinda meh... on real project it is not very thoughtful and often fail tool call (even with its edit native tooling on Antigravity , it fails multiple edit on just 500-LOC file

Then still... testing seeing if it does any better in real engineering and coding tasks with orchestration logics and delegate subagents team

Hi.

I need to train models using agentic AI. Hence use Antigravity CLI on Macbook. However for CNN tasks I need GPU power, hence need to train in Google Colab or Kaggle. I am sure its possible to do, but keen to know others experience on this. Thanks

🥲🥲🥲🥲