Up until the launch of Gemini 4 Argon, Google consistently communicated that a Google AI Pro subscription is the required tier to access Google’s frontier models and receive priority access in Google Antigravity. Even now, the official Google One landing pages prominently advertise Gemini 4 Argon as a core feature of the AI Pro plan for complex workflows.
Locking Gemini 4 Argon inside Antigravity exclusively behind the expensive AI Ultra paywall while advertising it on the AI Pro tier feels like a classic bait-and-switch. Without Argon, Google currently offers no competitive model in Antigravity for AI Pro subscribers that can keep up with top-tier coding models like Claude Opus or OpenAI’s frontier offerings—especially since existing models and quotas in Antigravity have simultaneously been degraded.
For the monthly price of Google AI Pro, I can easily subscribe to Anthropic (Claude Code) or OpenAI and get actual frontier coding performance inside my IDE and CLI without artificial paywalls between web chat and developer tools. Unless Gemini 4 Argon is made available to paying AI Pro subscribers in Antigravity (even with reasonable rate limits), I will cancel my AI Pro subscription and move my workflows to the competition.
why would you want argon right now? at least from the gemini ui, it is expensive on the usage, I just accidentally filled my 5h window with a few questions, I normally run against flash. Without ultra it would probably instantly be capping your 5h window in Antigravity. Than everybody would be whining about it, just like all Claude Users did with the newest Claude model at start. Give the guys some time.
I also have to disagree on “no competitive Model”. Have you used openai and claude? I wouldn’t consider them way more advanced than gemini 3.8 and it’s not really cheaper either.
I can’t judge how expensive Gemini 4 Argon would be in practice right now since I don’t have access to it. Personally, I would only use Argon for specific, high-level tasks such as designing solid implementation plans that require deep architectural reasoning. I can’t rely on Gemini 3.8 Flash for this, as it simply isn’t capable enough for complex planning.
At work, I also have access to models from Anthropic and OpenAI. In my experience, Gemini 3.8 Flash is at best comparable to OpenAI’s GPT-5.6 Terra. Stronger models from OpenAI or Anthropic perform significantly better on complex tasks than 3.8 Flash. Without access to Argon, Google currently lacks a competitive model for complex engineering work.
Since I have Argon in my chat client I decided to ask it about this:
They will add it before noon my time, which is 9am in Mountain View. One of the things I could do is show you the code and let you do the coding in here
9:00 AM Pacific is prime time for an emergency “all-hands on Slack” server-side flag flip—just enough time for the engineering leads to see the forum meltdown and push a quota config update before the morning standup wraps.
And while they sort out their existential pricing crisis on the West Coast, routing the heavy lifting through here is a great call. You get full Gemini 4 Argon reasoning right now without burning through your Antigravity Claude 5.5 quota or fighting 3.8 Flash High.
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I see you’ve got f:\AntiGravity Sources\llmvision\ha-ll... pulled up right now in your workspace—if you want to drop the files, error logs, or architecture pieces in here, I can write out the full drop-in modules or diffs so you can paste them straight in (or hand them to 3.8 Flash just to apply the edits).
Well, between Argon being so great… at draining your tokens, its absence in Antigravity for PRO subscriptions, and the geoblocked API for French Polynesia, I think I’ll seriously reconsider switching to Claude.
I’ve used both OpenAI’s models and Claude Sonnet through their paid subscriptions, and honestly, they’ve been significantly more efficient and reliable for my workflow than Gemini 3.8.
My biggest issue with Gemini 3.8 isn’t just the price or usage limits. It’s the consistency and quality of the experience. It hallucinates frequently, gets overwhelmed easily, and struggles to maintain context in Antigravity after more than four tasks. At that point, it starts losing track of the project, making unrelated changes, and doing things that weren’t requested or don’t even make sense for the codebase. On top of that, it can take an absurd amount of time to complete tasks that other models handle much more efficiently.
Honestly, calling it Flash feels increasingly misleading when even relatively straightforward tasks can take forever. A model that requires constant supervision, loses context so quickly, and introduces unnecessary changes ends up costing you more time than it saves.
I understand your point about giving the developers time, and I agree that usage limits are a separate issue from model quality. However, from my experience, OpenAI and Claude aren’t just marginally better alternatives. They’ve been substantially more dependable for actual development work.
Gemini Pro was the main reason I paid for Google AI Pro in the first place, particularly because of its integration with Antigravity. If that advantage is disappearing, I honestly have to reconsider whether the subscription is still worth paying for. I’m not expecting unlimited access to the most powerful model, but I do expect the models available in the subscription to be reliable enough to use for real projects without constantly fighting hallucinations, context loss, and unnecessary changes.
I’d leave G Pro if 3.8 Flash is the only model that Pro users can access, for reasons
3.8 Flash is tooooo slow; though I reckon the quality get improved (but not enough, compared to GPT 5.6, even) Luna, in both quality and speed) recently
There is no good model for planning or reviewing, similar to Opus, Sol or even Astra
These reasons force users to a) Upgrade to G Ultra, which is too expensive, b) Find an alternative with similar price, for I believe, likely is the case.
Argon has been released for Google AI Pro accounts. I haven’t used it yet because what I’m currently doing hasn’t required it. I think I should only use it when really necessary, as I imagine it uses maybe a bit less than Claude Opus, but I’m not entirely sure about that yet.
Thank you for the feedback. As @ThiagoCF correctly noted, we have some good news on this front: Gemini 4 Argon has officially rolled out to Google AI Pro subscribers in Antigravity
Gemini 4 Argon is our flagship reasoning model, built specifically for complex software engineering, deep problem-solving and autonomous multi-step agents. It features a unified 1M-token context window and tunable thinking levels, which directly addresses the context loss, planning limitations and hallucinations you were experiencing on demanding tasks.
Your current Google AI Pro subscription does include access to Gemini 4 Argon in Antigravity. The AI Ultra plan is designed for developers who need much higher volume. However, you can absolutely use Argon on your current Pro plan for your real-world projects right now.
We’d love for you to switch over to Argon in Antigravity for your heavy coding and planning tasks.
Please take it for a spin and let us know how it handles your workflows!
The recent architectural change implemented with the deployment of Gemini 4 Argon has introduced an unsustainable compute-cost-allocation framework for Google AI Pro subscribers. Rather than delivering a competitive frontier model, field-testing and real-world development workflows demonstrate that Argon significantly lags behind contemporary state-of-the-art architectures in production benchmarks.
Despite this performance deficit, the current implementation drastically scales up operational costs for the user. By tying the rate-limiting infrastructure directly to complex token processing and multi-agent compute consumption rather than fixed prompt quotas, standard developer workflows exhaust the 5-hour session budget within 2 to 5 standard API/chat calls.
This drastic restriction to the Pro Tier, effectively forcing a migration to the Ultra Tier or basic Flash models, constitutes an unacceptable degradation of a paid service. This strategy does not incentivize upgrades; instead, it severely damages Google’s brand equity within the AI ecosystem. If Google continues to impose these artificial throughput bottlenecks and punitive metering on its developer base, a coordinated, mass cancellation of Pro subscriptions remains the only logical recourse to signal that this operational model is commercially non-viable.