I just completed my first round of testing with Gemini 4 Argon in Antigravity. The amount of usage one gets Gemini 4 Argon on the Gemini AI PRO plan is very limited. Here is how it compares to Claude and ChatGPT plans on similar level.

Preliminary number show you get about 17x the usage with Opus 5.5 and about 7x the usage with GPT-6 Astra if you have Claude Pro plan or ChatGPT Plus plan. This was tested with coding tasks.

I really hope Google increases this soon. It seems to be a great model.

For context, I've been bouncing around to the best LLM for my use cases since 2023, I work as a software developer, solo game dev and writer. ChatGPT -> Gemini -> Claude, now back to Gemini. I've been on the Claude Max x20 subscription for the last few months and mainly use Fable 5.1 with Opus 5.5 as the workhorse.

When Argon finally released I grabbed the ultra plan so I could do A/B comparisons between Argon and Fable for my use cases and compare the weekly usage drain per-prompt (my prompts are pretty consistently 100k - 200k token one-shots with follow-ups, either coding or writing contexts).

Based on my assessment:
- Argon sits pretty squarely above Opus and around Fable in terms of overall performance.
- Communication style is significantly better than Fable and especially the old Opus 5 (no literary or aphoristic bias e.g. 'that holds', 'that's the whole thing', abstract event-object type shit).
- Cheaper than Fable, more expensive than Opus (my prompts on the basic ultra plan hit Argon usage at the same rate my max plan hits Fable usage, almost 1:1).
- Much better performance at high context size. For reference, Opus and Fable even have a tendency to shut down thinking after like 150k tokens and get narrower, with Opus losing focus fast. Argon chugs along at 250k tokens and is still performing like 100k, which is shocking to me.
- Makes more mistakes than Fable, but self-audits at a significantly higher rate. For example, when I give Fable or Opus two runs of the same prompt and ask for a comparison, it will almost always accept the framing of the second run or stay within the bounds both runs create, while Argon **will reject both runs if they're both wrong** and identify problems I didn't even see.

---

Second thing, I'm surprised that I cannot find much conversion on this sub about the new model's actual performance. Rate limits and access, totally understandable topics. My standard is based on the Claude subreddits though where there's pretty much non-stop posts either bashing problems or bashing the bashers.

I've been reading the sub casually and have noticed what I think are bots:
1.) A couple of vague and somewhat confusing posts praising Argon
2.) A couple of commenters aggressively (and vaguely) bashing Argon
3.) People calling out some of the posts as likely bots (because more obvious), but not comments

Note about why the comments in question read as bots: 1-4 week old accounts who have posted on like maybe two subs (e.g. one posted only here and on worldnews), and their actual comments are more convincing as human like "Argon sucks" and "shut up" (lol).

The combination makes me wonder if there's like a really weird astroturfing going on where bots #1 make bots #2 more effective. I could absolutely be wrong and it's actually a convergence of really weird behavior (from my biased perspective), but still worth being a little more critical whether its blind praise or blind hate.

I've been using it over API via OMP since release. Hoping it gets added to Antigravity with API soon so I can use the native harness.

The model is absolutely fascinating. I'm getting similar vibes to what I felt when OpenAI released GPT-5.2 and when Moonshot AI released Kimi K3, where it's so far ahead of the competition yet benchmarks don't correctly showcase it. It's so damn thorough. Relatively fast. It's finally usable in agentic scenarios unlike the Gemini 2.5/3 series (except for 3.8 Flash of course).

I was basically using infinite GPT-6 Astra/GPT-6.1 Sol and Claude Opus 5.5 through work. Argon's default output can be a bit annoying (still league better than Opus and GPT-6/6.1), but with poteto's unslop skill, I get extremely satisfying results. It also writes good code. It's not a zero-shot beast, but if you have verifiable work, this thing is nuts.

I've let GPT-6.1 and Opus 5.5 (through CVP) attempt a cybersecurity, RE-related task I've given them. 2 days of /goal on both with very little progress and straight up burning money. Argon figured it out so quickly. This model reeks of "big model smell", it just knows all the niche shit I throw at it so extremely well. The classifiers only bother me if I do vulnerability research, which is expected; but I don't do that often so it's fine for my use.

Absolute beast. Hope to see some improvements in token efficiency with Carbon or whatever the next iteration of this model is.

Well done, Google DeepMind. Please keep it up.

It's about time!

they've also added a separate quota JUST for Argon, so I hope this goes well. has anyone tried it out yet? what're your experiences so far?

Anyone tested the quota yet?

Like all discounted or sponsored pro users have so many limitations then why release that at all.
Should have created a custom category between plus and pro for these why name it PRO and give nothing as pro subscriptions
No collab usage as pro
No models
No cloud credits
Then better off not give any lol

I recently developed a project that took about 700k tokens, with lots of files and constant use of context window. Flash 3.8 was able to keep the reasoning, accuracy and task connection much better than Pro 3.1 did.

I used AI Studio for this and sadly, as PRO users, google denied us Argon 4.0 which sucks, but Flash 3.8 seems pretty competent.

Using Argon 4.0 in the gemini client for long projects is terrible. Argon is a very powerful model but you just can't make the most out of it in web. Long and complex answers for projects with multiple files make it almost useless in web client.

Is Gemini 4 the magic genie or something? I get like 10 questions max at any given time. God forbid I ask it to code something. And not only is access to Argon cut off, access to 3.8 Flash and 3.1 Pro is also gone. Like what?? 😂 I did not expect this penny-pinching shit from Google, the multi-trillion-dollar business. Their model is nowhere near as good to be doing this crap

Yesterday and today every message complicated more than "hello" eat about 33% of 5h usage limit. Wtf? Only 3-4 prompts for 5h. Why not one, Google?

Even astra on high or opus 5.5 (high) gave me about 50+ prompts for 5 hours.

attention google ai pro subscribers: you can now build with gemini 4 argon in ai studio build / playground 🛠️

https://x.com/GoogleAIStudio/status/2111240722426802258

Disclaimer: I'm diamond tier in Google Play, so I'm not sure if there's a minimum tier you need to claim this or not.

This is becoming a yearly thing with Google Play. Pro tier on Google to try for three months around the 4th quarter of the year until Jan.

I can confirm if you've renewed your Pro subscription within the last 5 days (my experience personally I'm not sure if there's a minimum or maximum time) it will replace your current subscription and refund you - Interested to see how far out from renewal and then claim this to get refunded still.

Just have to go to Play Store -> Play Points -> Perks and scroll down to see if it's there.

Obviously if you pay for Ultra already, this doesn't matter much, unless you plan to downgrade for a few months. I already pay for Pro and Max with GPT and Claude, so I haven't been able to justify paying for Google Ultra since before Fable/Astra, and just using Pro for all of the Google One suites it gives. With Gemini 4 Argon available on Pro now, though, definitely going to take advantage and enjoy the free months!

In case I need to say it, Google has always shipped more than just Gemini in their Google One subs, which I think always made it worth it to have at least a minimum tier

This is the worst thing i have ever seen from a frontier model

I just send him like very basic normal task which is test and verify a small fauture , but he take like 15m? and eat 21% usage in the weekly argon usage

Argon is waste of time!

I've tested ChatGPT Sol 6.1 Medium, Argon4 Medium and Claude Opus 5.5 in Claude desktop app.

If I would make a tierlist in regards how those feels when working with them with code, I would say Claude will be 1st, and on the 2nd both Argon4 and ChatGPT.

However, If i'll make a tier list regarding the overall experience in long term, I would say Antigravity Pro subscription its not something I would recommend.

The first will be Claude, the second being Codex. If it was something besides Antigravity, I would put that on the 3rd place.

The overall tokens pool you have its so so small. I've made some comparisons, and Indeed are so small. The Claude opus 5.5 Medium model on Antigravity consumed its 5hourly limit and 49% of weekly limit from 1 prompt. For Argon4 I was able to work with it for at least 1 hour before consuming the weekly limit. And Flash 3.8... its.. idk, i just simply dont like it, it is not feeling capable of the task I usually running.

On Claude desktop, opus 5.5 I usually work for like 4-5 hours straight. Rarely hitting the 5hour limit. Same with Codex Sol 6.1

I just brought the Pro plan from Gemini being hyped about Argon4 and being curious how is it. Overall the model is capable of many things, but the overall Antigravity experience its not. Like for ~20euros Pro plan subscription to have such a small pool to work with comparative with the other alternatives, I would say, claude or Codex will be a better choice. I'll not renew the plan on Google.

Yes believe it or not I wrote this and use the command+B to bold the names lol.

Install Serena - comes from Claude Code. Just tell Antigravity 2.0 to install it.
-Generally saves between 40% to 70% for coding and 80% when bug hunting.

Tell it to add the Surgical Reading rule. Instructs the AI to never read 500+ line files repeatedly—search for the exact line number first and only read a 40–100 line slice.

xcodemake builds 60% to 90% faster plus saves about 15% to 25% of your quota.

Install Playwrite and xcodebuild MCP - Lets the AI take its own screenshots and inspect the live app so you don't waste 5–10 turns going back and forth describing UI/layout bugs.

Prompt: "Remove the leash across his body. Try to create him a more festive Halloween background than the car backseat. Keep his orange Halloween bandana. Keep the same face, markings and expression."

Hey everyone. I've been using Gemini since April, and I saw the rollout of the sliding windows and weekly usage limits back in May (at least in France, not sure about other countries). These limits have since been visible as gauges that fill up as you use Gemini.

I remember that back in May, the gauges were filling up extremely fast, and I feel like we're seeing the exact same thing since early October, right around the pricing announcements for models above Flash-Lite. Am I imagining things?

I personally only use Flash-Lite since it's enough for my use case, and up until now, my meter always stayed at 0%, probably thanks to a tweak Google made. I'd like to believe the same pattern will repeat, because honestly, watching the gauge fill up this fast for no good reason just isn't normal. I'm hoping quotas will get loosened up again like they did around June/July. What do you guys think?