upvote
Announced the model two weeks ago to a ton of hype, model was unavailable for anyone to try. On twitter, Google folks went on a great run taking shots at Muse ("Muse who?"). The hype died down bc nobody could touch the models and meta/muse came out with a similarly capable model in the meanwhile.

At the same time, OpenAI had a disastrous dev day that led a lot of users to jump ship to Claude.

Couple weeks later, Gemini-4-argon is still unavailable on anything less than the ultra tier, which means there's no natural funnel to get ppl to pay for the more expensive ultra plan other than "trust us the model is good".

If Google had argon broadly available earlier this month they would have picked up a ton of new users.

reply
As someone internal at Google I don't understand why there's so much criticism of Google models... but right now I'm using the next model beyond Argon, and Flash 3.8. In my personal Gemini app I only have access to 3.5.

Models move so fast now and Google is very cautious about releasing them.

reply
My complaint, and the complaint of many is not the models - they can be good to very good depending on use case.

What sucks, hard, is googles ability to deploy direct to devs and customers at scale when the deployment is not a longstanding Google project.

Case in point: I’m an ultra subscriber and see in my app right now an ad to try Gemini 4; meanwhile the only models I have available are 3.1 pro,3.6 flash, and 3.8 thinking.

Clicking the try gemini 4 link takes me to a demo prompt that loads 3.6 flash. Srsly

I won’t even start telling you what getting api key based access together was like a year ago.

reply
People have very short attention spans and cheerlead whoever is winning at any particular point in time.
reply
"I don't understand why people don't like our models but we can't get our act together on the products they use those models in"
reply
Uncharitably misreading things on the internet and getting upset about them is not the best hobby
reply
I agree that reply was unnecessarily rude, but... idk man. I'm a huge cheerleader for Google [1], use 3.1 Pro via AI studio, I'm on a Pro plan... and I can't access this model? Not even a "4 chats per hour" type thing?? I mean, I have video generation access for some reason (no good for me), but Google's policies are baffling to say the least.

Ofc I know this isn't your fault in person, but I really wish Google would get its shit together.

...As a long time tech enthusiast I should probably stop being so delusional. Heh (cries internally)

1: lol I know who cheers for a trillion dollar company but I'd rather not cheer for OpenAI

reply
Yeah, what I was trying to say is "the criticism doesn't make sense to me because I forget because I have access to the good stuff."

As a Google employee my defense is it's hard for a company this big to move fast, but I can understand how Google customers would be annoyed.

reply
Didn’t check agy or AI studio, but at least Argon is available in Gemini page/app.
reply
There's nothing unnecessarily rude about my comment, they are literally unable to get their act together on product.

The top level comment blamed cheerleading but let's apply critical thinking for a second as product people and look at the funnel:

1. Potential users sees new release 2. Potential user takes time to install and set up Google harness (you already lost 90% of people here, the funnel better close quick!) 3. Potential user cannot use new model.

Then what? You hope they developed good will towards your model through this experience?

You stuck a two week wait in your funnel? Is that the definition of not having your act together or what?

We're on HN, how many of us have heard from Google staff this kind of stuff is a result of them growing so big that AI Cloud has to compete with Vertex Cloud, and AI cloud exists because Vertex Cloud needed 2 years to get OAI/Ant style API keys working and were losing dev mindshare in the meantime?

reply
Why are you doing that then?
reply
deleted
reply
Because Google models are crap. They are on par with local shit models. Last time I tried they were unable to even hold a longer conversation, because they would enter loop and reiterate last answer regardless of the prompt etc.

Then basic mistakes (inferring wrong information from the given text, hallucinations...). Gemini is okay for some absolute basics and the rest of the work goes to actual frontier models.

reply
How long ago did you try it? Gemini models seem extremely capable to me. I've been using them in ag for over a year and to me the results are great. switching to opus in ag doesn't produce any better results for me
reply
All the power users are always jumping around by now and many hold the smallest subscription with all the models or at least two.

Narrating this as if it’s the game of thrones is a fun exercise, but it’s just becoming commonplace now that models jump ahead of each other on a weekly to Monthly basis.

reply
> and many hold the smallest subscription with all the models or at least two

This was part of the issue, as stated in their comment. We couldn't jump around to try it for the reason that is wasn't made available to, as you say, "all the power users".

reply
You're not convincing me. The war for compute within google is well known by now. Every single product decision stems from that.

Do you really think people in google are happy about how long it took to release this model?

reply
Why should I care?
reply
Why did people jump to Claude? I redirected company resources to OpenAI Pro 500 accounts and away from Anthropic for most use.

We’re all running on Astra medium the whole week and loving it.

I’m curious what I missed.

reply
I'm still a codex man myself but lots of people feel like opus 5.5 just gets it for some projects in a way that astra doesn't. Especially given the fact that astra and sol 6.1 are often at capacity late at night during US hours, when lots of people want to run longer unsupervised projects while they sleep. There's a general sense I've felt reaching some comment threads that openai failed to react with something better than opus 5.5 and are rushing to release small tweaks to make people feel like they're still getting something new.
reply
Sol is just hilariously slow. Even Luna is slow. It is unusable compared to Claude. I was pretty unhappy with Opus 5 and really gave OpenAI a shot for personal projects, but their quotas are just too small and their capacity issues in the last few weeks have just been untenable. No good. Opus 5.5 is just a very good model, very efficient with usage, gets things done at a reasonable speed. Sonnet 5.5 is also a very nice worker improvement. It is probably on par with Opus 4.6-4.8.
reply
The sense I get from your comment and the GP comment is that OpenAI’s pricing changes alienated individual users for the sake of the enterprise market. I live in the enterprise market, and was quite pleased with the changes. We don’t really use Sol 6.1, just Astra.

$500/month for 40+ hours a week of Astra usage, with ultrafast mode available when you’re near the weekly reset has made our jobs so much easier. Our product has some sciencey bits as well, ands Astra kills it as a rubber duck in this area.

As a consumer whose 20x account got downgraded, I am a bit sad. I can’t justify $500 a month on personal AI spend. As an engineering manager, I could not be happier with OpenAI’s services. Also, Codex App Server is amazing.

reply
> Also, Codex App Server is amazing.

Hey, account created 39 days ago. Did you really have to tag that on after all the other stuff? Could you make it any more obvious?

That said this thread is hilarious because it's just an open ai sales manual debating with an anthropic sales manual. It's funny, but it's not, because the truth is that you people are just shitting all over the commons. Someone needs to kick you out but that's not going to happen here.

reply
:shrug: I spend a lot of those token make local models better, resurrecting old hardware to make it more accessible and usable. Frontier models and AI is cool. This is my lived experience doing real systems engineering projects. My real sales manual is: https://stealthgoat.com/deepswe-flash-next.html local models are kind of awesome now and everyone should be using them in addition to frontier models. I will build the stuff I want which includes optimizing local inference engines until they are at my hardware ceiling. I use this capacity in my house to do reversing, security research, and internal OpenClaw type stuff I find useful.
reply
They are all very slow at the moment. Some tasks are taking hours to even days. These are DevOps related tasks in which I create hundreds of servers in an agentic way. It works. But it's slow. That's still annoying.
reply
Just for the record, I'm a Spanish user with Google AI pro (€20 per month or so) and my app has Argon now. (Yay!)
reply
> At the same time, OpenAI had a disastrous dev day that led a lot of users to jump ship to Claude.

Can you elaborate on this?

reply
There was some backlash around the pricing changes - the $200/month tier offers less usage now, at the same time as the launch of the $500/month tier.

Reddit thread with 247 comments here: https://www.reddit.com/r/codex/comments/1wtgv3z/dev_day_l/

Aside from that I'm not sure what was "disastrous" - maybe the lack of a new model release to compete with the just-released Claude Opus 5.5?

reply
"Disastrous" is obviously a loaded term, and it can be debated, but from what I collect, the reasons are

- Dots. People don't understand it. Their presentation didn't explain it properly at all. Additionally, many people thought it's stupid, and that the cutesy mascots are dystopian.

- Voice mode didn't work in their presentation. The demo failed.

- 200$ plan goes 20x -> 10x usage. 500$ plan introduced, 25x usage. The contrast is stark.

- "Ultrafast": 8x pricing on subscription plan (6x API). That's 80$ input, 400$ output, 100$ cache write. Hello?! Additionally, since it generates 8x faster, it consumes your quota 8x faster. Per wall-clock minute, it's 64x more usage spend per minute of generating. People report that on the 500$ plan, their weekly usage is gone in 40-100 minutes.

- People believe gpt-6.1-sol was planned to be released as astra-minor, but OpenAI renamed it at the last possible time, because gpt-6-sol is a disaster (this I can get behind)

reply
Pulled astra 6.1 at the last moment (allegedly) and only released a dirty looper sol 6.1. Also released dots which are unavailable in EU. There may have been more but no one cared.
reply
and dots are only on $100+ plan.
reply
Gemini 4 is announced be available to Pro users in the Gemini app.

I mean, I heard rumors too that it would be ultra only, but that doesn't seem to be the case, unless you are specifically talking about antigravity?

Realistically, market adoption isn't going to be the result of terminally online people (like me, I confess) following things way too closely on social.

reply
There weren't "rumors" that it would be Ultra only, that's what Google has announced two weeks ago. Happy to see they've went back on that, but I haven't seen Gemini 4 on any apps till now, and I'm a Google AI Pro subscriber.

edit: just a few hours after this comment I got access to Gemini 4 on the Gemini app. Yayy! :)

reply
They never said it would be Ultra only. They said, "starting with paid API customers and Google AI Ultra subscribers" in the initial announcement.

https://blog.google/innovation-and-ai/models-and-research/ge...

reply
That's correct, I've misquoted it. Although, if I understood correctly, it got released to all plans together today right? Or did AI Ultra subscribers have access to it since the first announcement?
reply
am on pro. updated my apps. no g4. sadge google.
reply
I got it within the last hour, it is still rolling out.
reply
On pro as well. I have "4 Argon" in my Gemini web app model dropdown.
reply
"model was unavailable for anyone to try"

Oh yeah. Completely forgot about that. Big headlines and big claims, but no one could actually use it and report on it.

Does seem like they don't quite grasp how the hype train operates. Or maybe they don't care as much.

reply