Model selector at the top drops down and shows
* 3.5 Flash-Lite
* 3.8 Flash
* 3.1 Pro
* 4 Argon - New
And honestly, the versions are hurting their case. I ask myself “how is the oldest model, the Pro model?”
This kind of bungled naming and versioning is the kind of thing I expect from Microsoft.
Didn't for me (antigravity, pro sub). I got it working with the API, but to my dismay I learned that counts as enterprise and so many features are disabled, such as auto mode.
It's supposed to be from 'smallest' to 'biggest' not release date.
The problem is when they stop releasing big models for so long that their small models overtake large ones.
User wise, the average person will see pro and expect it to be better. Where as companies like OpenAI have tended to release across small/mid/large such that the disparity hasn’t been large in terms of a smaller model outperforming their latest mid/large model.
Not sure how much it matters for the average user though.
For myself and most others that actively use LLMs, I’m aware of the model names and differences, and on the off chance I don’t, I can do a quick search to find out.
On the other hand, my dad (“average user”) probably doesn’t care whether to use Argon or Pro, or Flash for that matter. They are all good enough for his use case anyway.
I suppose the “Auto” option is what AI companies expect the average user to use.
Pro is better, except for agentic coding work
Agentic coding work or just agentic work?
You would hope they wouldn't have old big models that are worse than new small models available in the interface like that.
This is the least bad thing about using antigravity. It’s friction and jank all the way down.
Microsoft has figured this out: 1. No models at all. 2. Everything is copilot.
“What?” You ask?
Yes.
MSFT is releasing models. See the MAI suite: https://microsoft.ai/models/
Technically not true any more (for some versions of copilot chat, at least) -- my workplace's version has a "GPT 5.6 Sol" selector with "Answer faster" or "Think Deeper". ("Think deeper" appears to represent the lowest reasoning effort).
But you have to select it each time; otherwise "Auto" sends you to a lobomised model that is probably Phi-4 :(
One of the unexpectedly useful aspects of Simon Willison's pelican benchmark is that you can estimate what model you're using via the pelican it generates:
"GPT 5.6 Sol": appears genuine, albeit low reasoning. -> handed off agentically: appears to be using Luna for agentic tasks.
"Auto": very low quality, does not appear to be an OAI model.
Yes, but last time I asked copilot to provide an alt text for an image depicting a experimental procedure using rodents, it suggested "A rat being attacked by another group of rats".
That’s why no one uses it and it sucks.
It is part of Office 365 ( or whatever they are calling it now ) subscription and apart from coding, it is literally forced into everyone's throat in Fortune 500 for day to day task.
Also limits are horrendous on all plans I might as well instead use Fable that would cost me less
I only use Pro for Google as their models were so far behind, but I tried to give Argon a go, and notably it is only available in the chat interface. One brief conversation, with three exchanges, and my quota was exhausted and it restricted me to Flash-lite for the rest of the day. Rather comical stuff.
And it prompts me to upgrade to Ultra for "5x more usage". In contrast I use my Claude Max plan endlessly, on enormous problems, and my 5x max plan sees me almost never hitting double digits on my quota using Opus 5.5. It doesn't compel me to sign up for Google's higher level plans.
i hear this but i can't believe it. I'm writing multiple moderate apps. rebuilding entire distributions. not coming anywhere near hitting the limit. Pro plan (on a discount too). What am I doing wrong (right?)?
Im using pro on a discount. I got argon a few days after the release but the usage limits are worthless. Asking it for a simple review of a blog post blows through 50% of the usage limit. And in the limited experimenting I have been able to do because of that it also isn’t smarter than 3.8 flash.
Could it be skills / customizations? There are tools that will help you understand where your tokens are getting burned.
Making sure you are scoping your context, being specific also helps.
And I do 90% of my work on 3.8 - flash - low. C, go , JS, bash , powershell generated content. Near perfect quality.
I hear lots of people say the budgets are low – I’m absolutely hammering it sometimes indiscriminately (shell into this instance, rebuild the entire vm image).
so I’m not sure what the gap is.
Yeah, I have 85 minutes of "High" thinking time on my current hardware project and still have 25% quota left. $20 pro plan.
How are you coding on the Pro plan without antigravity? Copy/paste?
I'm on a Pro plan and Argon is in Antigravity for me now for some reason. It wasn't available at launch so I'm not sure when they backtracked.
I'm on the Pro as well, haven't checked if argon became available on antigravity, will tomorrow, thanks!
I noticed the usage on chat is absymal, but it could very well be that their own harness does a good job in caching and you can squeeze good usage out of it due to this.
I see 4 / Argon on Antigravity
> how is the oldest model, the Pro model?
Because apparently their Pro models had issues.
Wouldn't you rather a company be honest about that than hiding it from you?
The other end of the scale is Microsoft, where everything is Copilot.
Claude and OpenAI were doing it. What good are business lemmings if they don't yeet themselves off a cliff?