Simply a few months in the past, many had been sceptical about Google’s future in AI. Nevertheless, the corporate discovered a wholesome redemption with the Gemini 2.0 Flash and the two.5 Professional mannequin, each outfitted with reasoning and deep analysis capabilities.
Whereas these fashions led the competitors on all fronts—velocity, efficiency, and price effectivity—the corporate confirmed that it’s removed from slowing down on the I/O 2025 occasion.
The Gemini 2.5 Professional and a couple of.5 Flash fashions have obtained huge upgrades. Whereas the previous was anticipated to keep up its benchmark dominance, the two.5 Flash—designed for velocity and price effectivity—has now surpassed its rivals. It competes with fashions like OpenAI’s o3 and o4-mini and even comes near its extra highly effective counterpart, the two.5 Professional.
Each fashions excel at coding, arithmetic, graduate-level science questions, and nearly each benchmark possible.
Supply: Synthetic Evaluation
The corporate additionally launched Deep Suppose for the Gemini 2.5 Professional fashions, additional enhancing their reasoning capabilities. With Deep Suppose, the mannequin scored 49.4% on america of America Mathematical Olympiad (USAMO), outperforming the Gemini 2.5 Professional with out Deep Suppose (34.5%) and OpenAI’s o3 (21.7%) and o4-mini (19.2%) fashions.
After all, Deep Suppose comes at a price. The corporate has unveiled a brand new Extremely plan, priced at $249 monthly, which additionally contains the Veo 3 video era mannequin.
Nevertheless, the enhancements to the Gemini fashions weren’t the one shocking component at Google’s occasion. The corporate unveiled a language mannequin with a totally completely different structure. If that wasn’t sufficient, Google revealed many purposes for particular use instances, typically solely focused by startups.
Google’s New Mannequin is Over 3x Quicker Than The Quickest Mannequin
Synthetic Evaluation, a platform that gives benchmark outcomes for fashions, acknowledged that Gemini 2.5 Flash outputs 340 tokens per second. The subsequent greatest velocity was from Gemini 2.5 Professional at 152 tokens per second, adopted by OpenAI’s o4-mini, at 151 tokens/second.
However with Gemini Diffusion, the corporate’s new mannequin that learns to generate outputs utilizing strategies utilized by picture and video fashions, the corporate reported a powerful velocity of 1,479 tokens/second.
The structure, generally known as Diffusion Language Fashions (Diffusion-LM), works in another way from conventional language fashions that generate one phrase or token at a time.
“This sequential course of may be gradual and restrict the standard and coherence of the output,” Google stated. “Diffusion fashions work in another way. As an alternative of predicting textual content immediately, they study to generate outputs by refining noise, step-by-step. This implies they will iterate on an answer in a short time and error appropriate through the era course of.”
This iterative refinement course of will help the fashions excel at code and math-related duties whereas coherently producing giant chunks of textual content output.
Gemini Diffusion is my fav GoogleIO announcement
vibe coding at 1000tok/s hits completely different
multi-turn seems to be good to date
(no video speedup or something)
insanely bullish on diffusionLM pic.twitter.com/6AK6IM7AlM— bycloud (@bycloudai) Could 20, 2025
In February, Inception Labs, based by professors from Stanford College, the College of California, Los Angeles (UCLA), and Cornell College, launched Mercury, the primary commercial-scale diffusion giant language mannequin. The mannequin additionally achieved an analogous output velocity of over 1,000 tokens per second.
“A yr in the past, after we began Inception Labs, there was quite a lot of scepticism round something non-autoregressive,” stated co-founder Aditya Grover whereas congratulating Google. “We’re excited to see the rising validation and ecosystem round diffusion language fashions from different suppliers,” he added.
‘Google I/O is Such a Massacre for Startups’
The dialog about AI incumbents rendering startups out of date is sort of outdated. Analysts have at all times agreed that there might be areas the place founders can nonetheless focus and supply precious person experiences.
However, contemplating Google’s current launch, does the assertion nonetheless maintain?
founders waking as much as realise their startup is now a bullet level in Google’s keynote. pic.twitter.com/s1MAMJiUM7
— Charmie Kapoor (@charmiekapoor) Could 21, 2025
Google additionally launched its Jules coding agent, a completely autonomous device that integrates with customers’ repositories. The device can carry out duties like writing checks, constructing new options, fixing bugs, and offering audio changelogs. This can immediately compete with OpenAI’s newly launched Codex characteristic on ChatGPT.
That is one other addition to Google’s suite of coding-related merchandise, just like the canvas characteristic on Gemini, Gemini code help, and Firebase Studio. Moreover, the corporate additionally up to date Google Colab to an AI-first platform with agentic capabilities.
“This Google I/O is such a massacre for startups,” stated Jane Manchun Wong, a software program engineer. “No matter you constructed will get sherlocked right into a Google characteristic within the subsequent quarter and backed by multitude of computation powers, engineering sources, knowledge, and principally limitless funds,” she added.
Furthermore, Google additionally launched Sew, an experiment that permits customers to show their prompts, wireframes, and sketches into person interface mock-up photos. This provides AI functionalities to the UI/UX design layer, and even permits customers to refine designs with photos and paste them into Figma.
The device may also generate clear, practical front-end code primarily based on the design. This successfully supplies functionalities just like these on platforms like Galileo, Uizard, and UXPilot.ai.
All the above options pose a direct problem in the direction of the opposite AI-enabled coding platforms that exist at this time.
Google’s new merchandise had been aimed toward a bigger person base, past simply the builders.
The corporate additionally unveiled a digital try-on mode for customers who’re searching for garments to reinforce the web buying expertise. Just a few days in the past, a startup referred to as Doji raised $14 million in a seed fund for digital try-ons.
I knew 2 startups who simply raised cash constructing this
https://t.co/E2tyuIh1AE
— Arnav Gupta (@championswimmer) Could 20, 2025
Moreover, the AI Mode on Google Search is now accessible within the US, and it has obtained a slew of updates. These options will compete immediately with these provided by Perplexity.
Moreover, Google has added a brand new video overview characteristic for NotebookLM, new picture and video era instruments, and a brand new filmmaking device. The corporate’s beforehand introduced Starline undertaking is now up to date to Google Beam, which supplies 3D video communication options, a real-life conversation-like expertise for customers.
“Each 5 minutes on the Google I/O occasion, I noticed 10 startups getting killed proper earlier than my eyes,” stated one person on X.
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