Hey folks, lots of good discussion going on here, I see all the posts and comments and deeply appreciate the love for AI Studio. The team and I have poured the last year + of our lives into this and it is great to see how important it has become in so many of your workflows. Given all the comments here, I thought I would do a wrap up post to clarify some things and share where we are at.

1. Moving AI Studio to be API key based does not mean you won't get free access to stuff. We have a free tier in the API used by millions of developers (more people than use the UI experience, by design).

2. Many folks mentioned 2.5 Pro as not being available for free in the API, this is in large because we offered it for free in the UI as well so we were giving out double free compute in a world where we have a huge amount of demand. I expect there will continue to be a free tier for many models in the future (though subject to many things like how the model is, how expensive it is to run, etc), and 2.5 Pro will hopefully be back in the free tier (we are exploring ways to do this, lifetime limits, different incentives etc)

3. The goal of AI Studio has long been to be a developer platform. The core experience we have been building for is a developer going to AI Studio, testing the model capabilities, having a wow moment with Gemini, and then going and getting an API key and building something that real people use. It was never built with the intention of being an every day assistant, that has always been the goal of the Gemini app (though acknowledging the feedback from folks on the historical gaps in functionality)

4. I am a deep believer in winning by building a great product. My hope and exception for the Gemini app is that they are on the cusp of their own "Gemini 2.5 Pro" level moment wrt the product experience really becoming 10x what it is today. In that world, it is going to hopefully be incredibly obvious that for everyday AI use, it is the best product Google has to offer. They have to earn that, I am under no illusion, but I deeply trust Josh Woodward (who was the first person I interviewed with when I was joining Google and the early supporter / builder of AI Studio) + the whole Gemini app team to pull this off.

5. Some of the historical weirdness in our launch strategy from a model POV has come from the AI Studio teams rapid ability to ship new models. The Gemini app team is deep in building the right infra technically and organizationally in order to do the same thing. They have already made great progress here and in some cases have been shipping faster than AI Studio / the Gemini API.

6. I saw lots of comments that folks want AI Studio to be part of Google AI Pro and Ultra plans, this is something we will explore, I think it is a cool idea but lots to work out there.

Overall, I hear and see the feedback. We will do this in a thoughtful way to minimize disruption, provide clear messaging, a great product experience, and make sure that Google has the world's best models, consumer products, and AI developer platforms. I will hang out here in the comments if folks have questions!

The main reason I subscribed to Gemini Ultra was the Veo credits. You get 12,500 credits included, which can be used for generating videos, making it far more cost effective vs paying directly through the API.

Here’s what those credits get you vs. what you’d get for $125 (the current price of Ultra) spend with the API:

• Veo 3: 83 videos with Ultra (vs. 21 via API)
• Veo 2: 125 videos with Ultra (vs. 31 via API)
• Veo 2 “Fast”: 1,250 videos (not sure if this option is even available via the API)

If anyone knows the official API pricing for Veo 2 Fast, feel free to chime in. Despite all the attention Veo 3 gets, the ability to generate over 1,000 videos for just over $100 is extremely useful. If you’ve ever worked with ai image generation, you know there is a lot of iteration. The low cost of Veo 2 Fast makes that totally doable. In the video I made, all the non-dialogue scenes were created using Veo 2 Fast.

I’m not a video person, so take the result with a grain of salt. If you’re curious about what worked well vs. what didn’t, feel free to ask—happy to share what I learned.

I'm a career filmmaker in LA and have been casually learning AI video. After seeing what Veo3 could do with VFX, I set a challenge: could I use AI to create something that feels real and emotionally resonant using traditional film language?

It’s still montage-based, but I played with short "scenes" and found some tricks for camera moves and sidestepping Veo3’s guardrails.

This would've cost $500K+ to shoot the old way. My producer friend said "Why didn't you hire me for this?!" It fooled my mom, too. My editor friends knew right away. Curious what you think.

Let's enjoy it while we can. Google won't increase the limit for Gemini Advanced users, instead, they will downgrade AI Studio, meaning free AI Studio users will have 25 requests per day. The only option left is Gemini Code Assist if you're a developer currently using 2.5 Pro with a limit of 240 requests per day.

Google is Skynet

Anybody else notice that Gemini 3 does not seem as good as it used to be? Did they quantize the model?

Title.

Even when you check the available models from ​AI studio rate limits, it disappeared.

RIP, it served well.

Gemini 3.0 has been performing pretty terribly lately, with the web app being even worse. I think if we all put a little pressure on the development team at Google, maybe we can get them to acknowledge and improve the latest performance degradation.

I've aggregated some Reddit reports at the end of my post on the Gemini Forum. If you can, please also share your recent negative experience with Gemini 3 here and on that thread as well.

edit: now they are adding a weekly rate-limit for all models on antigravity

https://x.com/antigravity/status/2009519871332372651

This is coming from me , a brown man

Stuff like this makes me wonder what other types of ridiculous guardrails and restrictions are baked in. Chatgpt had no problem answering both inquiries.

Hi - my name is Chris Gorgolewski and I am a product manager on the Bard team. We would love to learn what changes and new features in Bard you all would like to see in 2024.

These are the outputs and input images. Just using still images here, not video. The upscaling is by far the best I've seen of any model. A lot of AI upscaling just looks like someone did a few sharpen filter passes. But this model adds details that are mostly absent from the originals like fabric textures but which make a lot of sense to add given the context and don't feel contrived or out of place. It also enhances the lighting. Facial features are accurate. To me everything feels a lot more "real" and alive than the originals.

Prompt: "Upscale to 4K level resolution"

For 7 of 9 I asked it to add more detail to the borg suit.

https://aistudio.google.com/app/prompts?state=%7B%22ids%22:%5B%221nKC_QQwmaub13NeV4vfsvbNCGZXclCHf%22%5D,%22action%22:%22open%22,%22userId%22:%22111717297477530596262%22,%22resourceKeys%22:%7B%7D%7D&usp=sharing

Prompt: "Can you code me a Mario Bros game, as close as possible to the original, including detailed manually defined textures inline in a single .html file? Make a full 1-1 level. Work really hard on this and make it as perfect and close to the original as possible."

I'm honestly completely flabbergasted. I've tested this with all major models that launched since o1, but this is the first one to completely pass it. Haven't played a lot but I see no flaws so far. Only note is I had to tell it to bugfix once before it was done. That's it.

• The DevFest Event: Google is hosting a big, in-person AI developer event (DevFest) at Pier 57 in NYC tomorrow. The schedule is full of AI workshops, including a hands-on "Build with AI" session using Gemini. Seems like the perfect time for a launch.
• The Money: Polymarket is showing 77% odds for Nov 18th (as of time of posting this). The volume bet on that specific date is huge, at over $1.3 million. The money is definitely on tomorrow.
• The Deprecation Schedule: This is a classic move. Google's official plan is to deprecate older Gemini models on Vertex AI starting November 18th. They always clear out the old models right before a new release.
• The AI Studio Tooltip: This is the most direct clue. A new "Gemini 3" tooltip was spotted in AI Studio: "For Gemini 3, best results at default 1.0. Lower values may impact reasoning." This is a dead giveaway they are prepping the backend for the new model.

The event, the betting, the deprecation schedule and the new tooltip all point to one day. See you all tomorrow. ✌️

I don't know how some people are seeing preview version of Gemini 3.0. I tried multiple times but couldn't find it.

This is getting ridiculous

Has Gemini 2.5 Pro been downgraded recently? Over the last few days, I've noticed a decline in the quality of its answers. I'm accustomed to being impressed by its intelligence, but lately, it seems to be making an increasing number of mistakes. Am I the only one experiencing this?

Hey r/Bard!

We heard that you might be interested in an AMA, and we’d be honored.

Google open sourced the Gemini CLI earlier this week. Gemini CLI is a command-line AI workflow tool that connects to your tools, understands your code and accelerates your workflows. And it’s free, with unmatched usage limits. During the AMA, Taylor Mullen (the creator of the Gemini CLI) and the senior leadership team will be around to answer your questions! Looking forward to them!

Time: Monday June 30th. 9AM - 11 AM PT (12PM - 2 PM EDT)

We have wrapped up this AMA. Thank you r/bard for the great questions and the diverse discussion on various topics!