Google rolls out Gemini 3.5 Flash, its “strongest agentic and coding model yet”, for tackling long-horizon agentic tasks, in the Gemini app and Search's AI Mode
Gemini 3.5 is built to help you execute complex, agentic workflows. — Today, we're introducing Gemini 3.5 …
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Discussion
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@jeffdean
Jeff Dean
on x
1/ Today at #GoogleIO, we're releasing Gemini 3.5, our latest family of models combining frontier intelligence with action. We're starting by releasing 3.5 Flash, which is built to help you execute complex, long-horizon agentic workflows. Gemini 3.5 Flash is our strongest model […
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@artificialanlys
@artificialanlys
on x
Google's new Gemini 3.5 Flash is the clear leader on the Intelligence vs Speed Pareto frontier and makes large gains on GDPval-AA (real-world agentic tasks), but is 5x the cost of Gemini 3 Flash
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@kimmonismus
@kimmonismus
on x
Insane evals for a Flash model! Gemini 3.5 Flash is really good for its size! [image]
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@emollick
Ethan Mollick
on x
Also had some early access to Gemini 3.5 Flash. Very fast for a flash model and very capable, though not as powerful as a full frontier model. I added it to the gallery or procedurally generated one-shot towns (it made one error that it corrected): https://hg-20f7d1a3ce.netlify.a…
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@teortaxestex
@teortaxestex
on x
RL roughly on trend, multimodality on trend, strange to see them report mediocre MRCR and ARC-AGI-2. Given the speed, it might well have fewer active parameters than Flash-3 (so they both shrink the batch and grow margin). Will be a successful model until we get some 5.6-Mini. [i…
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@levie
Aaron Levie
on x
Gemini 3.5 Flash is out, and it's a major jump over Gemini 3 Flash in model capability for knowledge work. We've been evaluating it on our Box AI Complex Work Eval in early release, and the model delivers a 12 percentage point jump on complex document tasks. For testing this [ima…
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@koraykv
Koray Kavukcuoglu
on x
Gemini 3.5 Flash delivers sustained frontier-level performance at lightning-quick speeds: Beats 3.1 Pro on coding & agentic benchmarks Terminal-Bench 2.1 (76.2%), GDPval-AA (1656 Elo) and MCP Atlas (83.6%) 4x faster than other frontier models (12x in Antigravity!) SOTA on [image]
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@github
@github
on x
📣 @GoogleAI's Gemini 3.5 Flash is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has strong tool use, fast response times, and high cache efficiency ➡️ It is it well-suited for fast, iterative agentic coding workflows Try it out in @code.
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@scaling01
@scaling01
on x
some more Gemini 3.5 Flash benchmarks by Artificial Analysis AI: - the APEX-Agents-AA score is excellent - expected higher on CritPt - reasoning efficiency could also be better, but it kind of depends on what setting they used. if it's the max then it's very good - Price/Perf loo…
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@scaling01
@scaling01
on x
Gemini 3.5 Flash scores kinda low on the Coding Index due to terrible TerminalBench-Hard scores [image]
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@scaling01
@scaling01
on x
Google optimized Gemini 3.5 Flash to make it run up to 12x faster (~867 tokens/s) than comparable models in AntiGravity
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@andonlabs
@andonlabs
on x
Gemini 3.5 Flash is 2nd on Blueprint-Bench 2. It shows impressive 3D visual-spatial reasoning; finishing ahead of models like Claude Opus 4.7 and Gemini 3.1 Pro. [image]
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@victortaelin
@victortaelin
on x
The new Gemini 3.5 Flash solved the HVM3's wnf bug in 1/3 attempts. This is my main test to take a model seriously. So far only the big models like GPT 5.5 solved it. And seems like it is 20x faster than Opus 4.6 ! Promising but Google will still find a way to fuck up
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@_arohan_
Rohan Anil
on x
Used the latest 3.5 flash model, it feels like it has been threatened by a system prompt. Always says <I will> — it feels like Bart Simpson writing on chalk board. [image]
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@mweinbach
Max Weinbach
on x
You'll be able to get the 12x faster (~800-1200 tok/s) Gemini 3.5 Flash in Antigravity today
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@artificialanlys
@artificialanlys
on x
Gemini 3.5 Flash is the new leader in multimodal performance, scoring 84% on MMMU-Pro. This places Google models in the top two positions [image]
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@lafaiel
@lafaiel
on x
Gemini 3.5 Flash benchmark Very powerful, it beats Opus which is 3 times more expensive in most benchmarks. At the same time it is 4 times faster [image]
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@kchonyc
Kyunghyun Cho
on x
excited by gemini 3.5 flash but also sad that it's “pushing the frontier of ... cost” not cost effectiveness 😭
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@officiallogank
Logan Kilpatrick
on x
Welcome to Gemini 3.5 Flash, our most powerful model to date. It pushes the frontier of intelligence, speed, and cost putting 3.5 Flash in a class of its own. We spent the last 6 months making sure Flash is great for real world use cases. It's available everywhere now! [image]
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@thomasortk
Thomas Kurian
on x
At #GoogleIO, we announced a series of new AI innovations and models to help enterprises continue their AI transformations →
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@mark_k
Mark Kretschmann
on x
Google just released Gemini 3.5 Flash. The interesting part is not just that it's faster. Google is basically saying Flash is now strong enough for real agentic coding work, not just the cheap/fast tier. They claim it beats Gemini 3.1 Pro on several coding and agent benchmarks…
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@oriolvinyalsml
Oriol Vinyals
on x
1/ Today at Google I/O, we're launching Gemini 3.5 Flash ⚡️⚡️⚡️! Our mission was clear: bring frontier-level intelligence with unprecedented speed. 3.5 Flash delivers drastic intelligence (beating 3.1 Pro on almost every benchmark), at Flash speeds. 🧵 [image]
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@_simonsmith
Simon Smith
on x
Initial experience with Gemini 3.5 Flash: Smart, crazy fast, but quite verbose. Example: I highlighted some text I wrote and asked “does this make sense?” The reply was 568 words and included a legal analysis. Need more time with it, but first impression.
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@koraykv
Koray Kavukcuoglu
on x
Gemini 3.5 Flash is rolling out globally for consumers in the Gemini app and Search AI Mode, for developers via the Gemini API, Google Antigravity, and Google AI Studio, and for businesses on the Gemini Enterprise Agent Platform. Read more about the Gemini 3.5 era:
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@theo
@theo
on x
Gemini 3.5 Flash is a really interesting release. It's super fast and surprisingly smart. It's also more expensive (3x more per token) and super token hungry. The result - it costs 2x more to run than Gemini 3.1 Pro on similar tasks. It's more expensive than GPT-5.5 Medium. [imag…
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@championswimmer
Arnav Gupta
on x
Cursor: made a browser Claude: made a compiler (and an interpreter, Bun) Gemini 3.5 Flash: made an operating system Who is gonna be the first to make an AAA game?
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@koraykv
Koray Kavukcuoglu
on x
Today at Google I/O, we introduced Gemini 3.5 Flash! It has become an integral part of our daily research cycle and works with all the tools we have at Google. We used a team of agents in Antigravity 2.0 to recreate the original AlphaZero research paper and build a playable [vide…
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@koraykv
Koray Kavukcuoglu
on x
Following our Gemini 3.5 Flash launch at #GoogleIO, check out this demo of what it can do right inside the Gemini app. Watch 3.5 Flash build an interactive circuit helper, outputting a step-by-step physical build guide alongside a working simulation. It's a great example of how […
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@rakyll
Jaana Dogan
on x
Google Search is now generating UIs with Gemini Flash 3.5 on the fly based on your query, completely custom generated on the fly 🤯
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@synthwavedd
Leo
on x
holy shit gemini 3.5 flash is better than even *gpt-5.5* on some benchmarks [image]
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@deredleritt3r
Prinz
on x
In late 2024/early 2025, releasing an excellent reasoning model in November, followed by a materially better model in February, followed by a fast/cheaper model in May that is roughly as capable as the February model would have been seen as a great achievement and rapid growth in…
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@sundarpichai
Sundar Pichai
on x
Gemini 3.5 Flash is transforming what you can do in Google Search with new agentic capabilities. A few things we're introducing: A new intelligent AI-powered Search box, our biggest upgrade in 25 years — rolling out globally. New information agents that work in the background
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@mweinbach
Max Weinbach
on x
I've had Gemini 3.5 Flash for the past week. It's extremely good. It build out an entire canvas/docs editor in my Cowork app It did it in ~7 minutes (vs GPT 5.5 xhigh fast's 25 minutes) and had a better implementation [image]
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@scaling01
@scaling01
on x
Google built an entire operating system with Gemini 3.5 Flash in 12 hours for less than $1000 [image]
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@newsfromgoogle
@newsfromgoogle
on x
New in @GeminiApp: ✨Gemini 3.5 Flash, the first in our next generation of models that combines frontier intelligence with lightning-fast action. ✨Gemini Spark, a 24/7 personal AI agent that proactively works on your behalf to handle complex tasks, like creating polished [image]
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@teksedge
David Hendrickson
on x
Gemini 3.5 Flash is pushing the boundary of SOTA models. Compared to GPT-5.5, it makes sense for OpenAI to push GPT-5.6 in a few days. [image]
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@jeffdean
Jeff Dean
on x
2/ Check out how Gemini 3.5 Flash instantly digests dense academic papers and autonomously codes a fully interactive, visual website explaining the intricacies of the research. It's an incredible stress test that seamlessly merges massive long context, deep reasoning, complex [vi…
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@deryatr_
Derya Unutmaz
on x
Gemini 3.5 Flash is much better than Gemini 3.1 Pro in coding & agentic benchmarks at a fraction of the cost! I can't wait to see the capabilities of 3.5 Pro! It could be SOTA in most benchmarks. These new Gemini upgrades seem like a step change-not just incremental improvements!
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@noamshazeer
Noam Shazeer
on x
Live from #GoogleIO, we're introducing Gemini 3.5 Flash, our latest model with frontier performance for agents and coding. We're rolling it out globally today, delivering frontier-level performance for real-world agentic workflows at 4x the speed of other frontier models. 🧵 [imag…
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@mattturck
Matt Turck
on x
Genuinely impressive release by Google today (remember when they were behind?) Gemini 3.5 Flash perf: * Building on prior strengths (83.6% of MMMU-Pro for multimodal), * big jump on agentic coding (76.2% on Terminal-Bench for agentic coding and 56.5% on Toolathon for real world …
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@artificialanlys
@artificialanlys
on x
Gemini 3.5 Flash shows substantial gains on agentic tasks, especially on GDPval-AA, our evaluation of real-world agentic work. It also however substantially increases the number of turns it is using for each task, averaging 49 turns per task. This is one of the highest recorded, …
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@noamshazeer
Noam Shazeer
on x
The metrics on 3.5 Flash are major: 4x faster than other frontier models in output tokens per second Outperforms our previous 3.1 Pro model on nearly all benchmarks Shows massive improvement on coding and agentic benchmarks like Terminal-Bench 2.1 (76.2%), GDPval-AA (1656 Elo) [i…
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@noamshazeer
Noam Shazeer
on x
The combination of performance and speed makes this model ideal for long-horizon and agentic tasks. Our enterprise partners are already seeing real-world results and accelerating their daily workflows. Read more about Gemini 3.5 in our blog: https://blog.google/...
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@mweinbach
Max Weinbach
on x
I have a couple examples of Gemini 3.5 Flash doing general knowledge work tasks in Cowork. Here are the prompts and the results, if you have a prompt lmk and I'll run it. Tested financial modeling, research, powerpoints... I need more prompts https://drive.google.com/... [image]
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@levie
Aaron Levie
on x
Gemini 3.5 Flash is out, and it's a major jump over Gemini 3 Flash in model capability for knowledge work. We've been evaluating it on our Box AI Complex Work Eval in early release, and the model delivers a 12 percentage point jump on complex document tasks. For testing this [ima…
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Gael Grosch
Gael Grosch
on linkedin
Google released Gemini 3.5 Flash yesterday at I/O. The headline is speed paired with close-to-frontier intelligence, around 284 output tokens per second …
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Ashish Gupta
Ashish Gupta
on linkedin
What a monumental day already at #GoogleIO! We are focused on three foundational building blocks for agentic commerce: the Universal Commerce Protocol …
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r/Bard
r
on reddit
Gemini 3.5: frontier intelligence with action
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@lafaiel
@lafaiel
on x
Gemini 3.5 is 30x more expensive than 1.5 [image]
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@simonw
Simon Willison
on x
My notes on Gemini 3.5 Flash - 3x the price of Gemini 3 Flash but Google are planning to use it for many of their own products https://simonwillison.net/...
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@lyalindotcom
Dmitry Lyalin
on x
Wow. You go Gemini Flash 3.5. (Source: Simon's post) As Simon said.... very Miami vibe and I'm biased and down for it! [image]
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@theo
@theo
on x
The cost to performance chart is the most interesting. 3.5 Flash is “more expensive” and “dumber” than gpt-5.5 on medium gpt-5.5-medium: 22m tokens, $1,199, 57 points gemini-3.5-flash: 73m tokens, $1,522, 55 points [image]
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@daniel_mac8
Dan McAteer
on x
gemini 3.5 flash is ~gpt-5.5/~opus 4.7 level yet 33% the cost of gpt-5.5 and 40% the cost of opus we are talking about gemini 3.5 *FLASH* so can we assume that gemini 3.5 *PRO* will be claude mythos level yet significantly less expensive? giddy-up because demis and his [image]
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r/singularity
r
on reddit
Gemini 3.5 flash costs 3 times more than the previous version and 30x more than gemini 1.5 flash.
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@scaling01
@scaling01
on x
about Gemini 3.5 Flash: “My verdict: at best it's Minimax 2.5~2.7 level and far from the frontier for real-world coding tasks” it's so fucking over bro only OpenAI and Anthropic remain
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@theo
@theo
on x
Oh my god it scored worse than Composer 2! Not even 2.5! And it cost 4x more to run!!! This might be the worst major lab model drop of all time. Llama 4 tier. Insane. [image]
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@seconds_0
@seconds_0
on x
gemini 3.5 knowledge cutoff is jan 2025 (TWENTY TWENTY FIVE) [17 months ago] Its cool that its a refinement of the 3 pro base, but insane that they still havent pretrained a new model to release [image]
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@tenobrus
@tenobrus
on x
so far pretty negative impression of 3.5 flash. it is very fast in terms of token output, but this basically doesn't matter because it explodes in a huge avalanche of unnecessary tool calls on basically every task. when it gets stuck on something it seems to pretty much never
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Emil Protalinski
Emil Protalinski
on linkedin
6 announcements you should know about from Google I/O 2026: — 1. Google rolled out Gemini 3.5 Flash, its “strongest agentic and coding model yet” …