Google makes Gemini 1.0 Pro and Gemini 1.0 Ultra generally available, adds support for adapter-based tuning in Vertex, and rolls out new developer tools
Google is expanding the range of Gemini large language models it is making available to developers on its Vertex AI platform today.
Context & Ripple Effects
Google is moving Gemini from a model announcement into Vertex AI's developer workflow: general availability, adapter-based tuning and tooling make deployment and customization part of the same platform surface. The next step in coverage, Gemini 1.5's launch for developers and enterprises, shifts the emphasis toward expanded model capability rather than access alone.
That sequence matters because Vertex AI becomes the commercial interface through which Google can turn successive Gemini releases into applications. Later Vertex AI preview access for Gemini 1.5 Pro reinforces that model releases and platform distribution are being coupled.
First-order effects
- Vertex AI developers can use Gemini 1.0 Pro and Ultra as generally available services, while adapter-based tuning gives them a more targeted way to adapt models for their workloads.
- Google broadens Vertex AI from model access to a developer environment that combines model selection, customization and supporting tools.
Second-order effects
- Teams evaluating generative-AI platforms gain another reason to consolidate work on Vertex AI rather than assemble separate model, tuning and tooling layers.
- Competing cloud AI platforms face pressure to match both frontier-model availability and lower-friction customization, not merely publish model APIs.
Third-order effects
- If this packaging persists, model differentiation will increasingly be mediated by the cloud platform's deployment and customization workflow, raising the strategic value of developer switching costs.
- The pattern points to AI infrastructure platformization: competition may center on integrated runtimes and iteration speed as much as on any individual model release.
The trend: Generative AI is shifting from standalone model launches toward cloud platforms that bundle access, customization and developer tooling into a single operating layer.
Related: AI infrastructure platformization · Compute-to-API flywheel · Vertex AI · Gemini · Gemini 1.5 launch for developers and enterprises · Gemini 1.5 Pro public preview on Vertex AI
Related Coverage
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- Our next-generation model: Gemini 1.5 Google DeepMind
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- Our next-generation model: Gemini 1.5 The Keyword
- Google Announces Gemini 1.5 Pro AI That Dwarfs All Other Models ExtremeTech · Ryan Whitwam
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- Google just released the next version of their LLM, Gemini 1.5. What's particularly interesting is that it has a massive context window of 1 million tokens. … Ajit Monteiro
- Amazing news regarding Gemini 1.5: — Gemini 1.5 Pro comes with a standard 128,000 token context window. … Samuel Otero Schmidt
- In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 our next-gen LLM with breakthrough long context understanding and a new Mixture-of-Experts architecture. … Ranbir Mazumdar
- Gemini 1.5, our newest multimodal, mixture of experts GenerativeAI model, is live! An important nuance is that while many have been espousing a singular model … Will Grannis
- Gemini 1.5 live today performing at similar levels to our original Gemini Ultra. It comes with a standard 128,000 token context window … Julia Wiesinger
- 🚀 The possibilities feel endless when you can pull in an entire repo - or an entire codebase! - into your model's context window. … Paige Bailey
- Our latest model, and more to come. — This new generation of models delivers a breakthrough in long-context understanding. … Wenming Ye
- Wow! It is hard to believe that it was just about a year ago when the world of GenAI got launched. … Elaine Stephens
- Everyone thought Google was lagging in the large language model (LLM) game, but they surprised us today by updating Gemini with a 1 million token context window. … Adrien Laurent
- An amazing day at Google as we unveiled Gemini 1.5, the newest state of the art AI model from Google DeepMind! … Dex Hunter-Torricke
Discussion
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@joeo.bsky.social
Joe Ortiz
on bluesky
The Gemini protocol is going to be virtually impossible to search now... [embedded post]
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@thomasortk
Thomas Kurian
on x
Today, @GoogleCloud is bringing more of Gemini to our customers with model updates and expanded availability. https://cloud.google.com/... [image]
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@google
@google
on x
We're bringing more Gemini models to @GoogleCloud customers with new updates and expanded availability, including making Gemini 1.0 Pro generally available to all Vertex AI customers. Learn more → https://cloud.google.com/... #GeminiAI [image]
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@eshumarneedi
@eshumarneedi
on threads
Gemini Nano Gemini Pro 1.0 Gemini Ultra 1.0 Gemini Pro 1.5 Gemini Advanced 1.0 Google One AI Premium Search Generative Experience Never change, Google. One million-token context windows won't change the fact that Gemini still says 1,000 pounds of feathers weigh less than 1,000 p…
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@charlesgivens
Charles Givens
on threads
Critics: Google doesn't have a cohesive vision! Also critics: Google's cohesive vision is too much! In a grouping, it is hard to differentiate the apps; that's the biggest and most obvious design error. However, every time you see any of these icons by itself, you KNOW it's a …
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@crumbler
Casey Newton
on threads
Google has released a new AI model that is on par with its other new AI model. Please don't ask what these models are or why they came out simultaneously. It's none of our business! https://www.theverge.com/...
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@georgescriban
@georgescriban
on threads
Google's messaging/chat strategy: Jesus, I'm an incomprehensible mess! Google's AI strategy: Hold my beer...
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@jeffdean
Jeff Dean
on x
Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long... […
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@drjimfan
@drjimfan
on x
Gemini-1.5 Pro has its spotlight stolen today, and people are poking fun at Sora vs Google memes. Well, I think it's the biggest boost in LLM capability so far in 2024. v1.5's 10M token context (1) excels at retrieval; (2) generalizes zero-shot to extremely long instructions lik…
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@googledeepmind
@googledeepmind
on x
Gemini 1.5 Pro can consistently run up to 1 million tokens in production, equivalent to: 🔠 Over 700,000 words 🛠 Over 30,000 lines of code 🔊 11 hours of audio 📹 1 hour of video We've also successfully tested up to 10 million tokens in our research. https://blog.google/... [image]
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@jeffdean
Jeff Dean
on x
Needle in a Haystack Tests Out to 10M Tokens First, let's take a quick glance at a needle-in-a-haystack test across many different modalities to exercise Gemini 1.5 Pro's ability to retrieve information from its very long context. In these tests, green is good, and red is not go…
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@sundarpichai
Sundar Pichai
on x
In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a... [video]
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@andrewcurran_
Andrew Curran
on x
Amazing. https://twitter.com/... [image]
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@andrewcurran_
Andrew Curran
on x
Gemini 1.5 is capable of a 10 million token context window! Amazing! We are escalating. They will introduce 1.5 Pro with a 128k context window. Then plan to introduce pricing tiers that start at the standard 128k context window and scale up to 1 million tokens. [image]
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@minchoi
Min Choi
on x
🚨BREAKING: Google Gemini 1.5 just destroyed ChatGPT and Claude with biggest ever 1 Million tokens. It can now understand 4+ Harry Potter books, several GitHub code repository, entire podcast, and 1-hour video🤯 Here's 3 examples of what that means: 🧵👇 [video]
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@drjwrae
Jack Rae
on x
We are announcing the Gemini 1.5 series of models today! * Support for 1M context lengths (tested up to 10M) * Gemini 1.5 Pro nears Gemini 1.0 Ultra performance with greater efficiency * Cloud users can sign up to waitlist for preview https://blog.google/...
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@alphasignalai
Lior
on x
JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested... …
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@googledevs
@googledevs
on x
✨ Introducing Gemini 1.5: Our next-generation model with a context window of 1M tokens. ➡️ https://goo.gle/... Explore the latest Gemini models, including Gemini 1.5 Pro, in Google AI Studio. #BuildWithGemini [image]
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@kylebrussell
Kyle Russell
on x
one million tokens [image]
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@kahnvex
Jarrod Kahn
on x
I've spent some time with this model as my daily driver and it is incredible. Insanely long context that actually works. Multimodal capabilities are just as incredible. 10/10 and this is just Gemini 1.5 Pro. It's good to be back.
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@hu_yifei
Yifei Hu
on x
Gemini 1.5 Pro benchmark scores from the technical report (column from left to right: Gemini Pro, Gemini Ultra, Gemini 1.5 Pro). It's almost as capable as the current Gemini Ultra model!? [image]
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@googledeepmind
@googledeepmind
on x
Through a series of machine learning innovations, Gemini 1.5 Pro now has the longest context window of any large-scale foundation model yet. The bigger the context window, the more information it can take in from a prompt — making its output more consistent, relevant and useful. …
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@zoubinghahrama1
Zoubin Ghahramani
on x
Gemini 1.5 is here! ..with enhanced capabilities and the longest context window of any large-scale model yet.
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@marie_haynes
Marie Haynes
on x
A new Gemini Model - Gemini 1.5 Pro. “Dramatically enhanced performance” -uses a new Mixture of Experts architecture <===something I want to learn more on! -performs at a similar level to 1.0 Ultra -runs up to 1 million tokens - longest context window of any larege scale...
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@picardparis
Laurent Picard
on x
Exciting update to the LLM Gemini family: Gemini 1.5 Pro has a context window of... 1 million tokens! It can process: - 1 hour of video, - 11 hours of audio, - codebases with over 30,000 lines of code, - or over 700,000 words.
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@gregkamradt
Greg Kamradt
on x
wow this is so cool needle in a haystack (or “NIAH” as the cool people call it I guess) mentioned by google on the Gemini 1.5 story
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@demishassabis
Demis Hassabis
on x
In December we began the Gemini Era, and we've continued to make relentless progress since. Today we're thrilled to introduce the next generation: Gemini 1.5 - hugely enhanced performance, highly efficient architecture & long-context length breakthrough https://blog.google/... [i…
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@oriolvinyalsml
Oriol Vinyals
on x
To show what's possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That's not even the max, it can handle millions of tokens 😀) Gemini was able to process all the code in …
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@googledeepmind
@googledeepmind
on x
Introducing Gemini 1.5: our next-generation model with dramatically enhanced performance. It also achieves a breakthrough in long-context understanding. The first release is 1.5 Pro, capable of processing up to 1 million tokens of information. 🧵 https://blog.google/... [image]
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@google
@google
on x
Today we're introducing Gemini 1.5, our next-generation AI model. It shows dramatically enhanced performance, including long-context understanding across modalities, which opens up new possibilities for people to create and build with AI → https://blog.google/... #GeminiAI [image…
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r/mlscaling
r
on reddit
Our next-generation model: Gemini 1.5
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r/OpenAI
r
on reddit
Google introduced Gemini 1.5
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r/Bard
r
on reddit
Our next-generation model: Gemini 1.5
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r/singularity
r
on reddit
Our next-generation model: Gemini 1.5