Google launches Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber, and says it has started its “most ambitious pre-training run yet” for Gemini 4

Our newest Gemini models deliver the efficiency, latency, and reliability to build AI agents at scale.

Google 2026-07-22 Tulsee Doshi

Context & Ripple Effects

Google has been building a tiered Gemini lineup around agentic and coding workloads: Gemini 3.5 Flash was positioned for long-horizon agentic tasks, while the earlier Flash-Lite release emphasized lower-cost performance. The new set extends that segmentation rather than treating “Gemini” as a single general-purpose offering.

The move also joins model iteration to the next training cycle. Google says the newer Flash generation reduces token use and per-token cost versus 3.5 Flash in its comparison of the two Flash versions, making deployment economics central to its agent push.

First-order effects

Developers gain new Gemini options spanning Flash, Flash-Lite and Flash Cyber, allowing Google to target distinct latency, efficiency and reliability requirements for scaled agent deployments.
Google simultaneously signals that Gemini 4 is already in pre-training, putting its current API and product lineup on a faster successive-generation cadence.

Second-order effects

Customers building agents can more explicitly trade capability against operating cost, increasing pressure on rival model providers to differentiate on throughput, pricing or specialized reliability.
A broader tiered catalog gives Google more ways to route workloads across its own stack, while the claimed efficiency gains make high-volume agent use cases more economically viable.

Third-order effects

If rapid model refreshes and lower inference costs persist, competition will shift further from standalone benchmark wins toward integrated model portfolios optimized for production agents.
The combination of specialized serving models and ever-larger pre-training runs reinforces an AI market in which access to compute, deployment infrastructure and application distribution compounds model-provider advantage.

The trend: This is part of the shift from monolithic frontier models toward continuously refreshed, cost-tiered model families built to run embedded agents at scale.

Discussion

@artificialanlys @artificialanlys on x
Google has released Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. Both halve time per task relative to their predecessors and increase token efficiency, Gemini 3.5 Flash-Lite improves by 11 Intelligence Index points while Gemini 3.6 Flash does not improve in intelligence over 3.5 […
@jeffdean Jeff Dean on x
A nice aspect of our new Gemini 3.6 Flash model is that it is much more token efficient than our 3.5 Flash model. Here's a side-by-side demonstration of that. Nice work by everyone who worked on this model and release! [video]
@officiallogank Logan Kilpatrick on x
We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress : )
@haider1 Haider on x
LFG Gemini 3.5 pro is already built enough to be tested by selected external partners — and at the same time, Google has started the main pre-training process for Gemini 4, using its largest and most ambitious training run so far [image]
@artificialanlys @artificialanlys on x
Gemini 3.6 Flash and Gemini 3.5 Flash-Lite record an average time per task of ~50% of their predecessors. This time per task decrease is driven by increased token efficiency and faster output speeds, with Gemini 3.6 Flash and Gemini 3.5 Flash-Lite measuring at 304 and 350 output …
@googleai @googleai on x
As AI models are now finding vulnerabilities faster than we can fix them, our approach to securing software must be built on highly efficient and capable models. Which brings us to our third (!) model launch of the day: Gemini 3.5 Flash Cyber ⚡🛡️ Built on top of 3.5 Flash, in [im…
@mgsiegler M.G. Siegler on x
Flash has now lapped 3.5 Pro, which is still AWOL. (Worse, so has Meta?!) With the touting of ‘3.5 Flash-Cyber’ - not to mention the mention of Gemini 4 pre-train work starting, seems fair to wonder if 3.5 Pro is a dud, like Llama 4 ‘Behemoth’ before it.. https://spyglass.org/...
@elonmusk Elon Musk on x
@OfficialLoganK Sorry, I got mixed up. Meant to post this one: [image]
@officiallogank Logan Kilpatrick on x
3.5 Flash-Lite runs at nearly 350 output tokens per second which feels so smooth on many latency sensitive UI experiences and is now also a viable option to drive agent harnesses!
@shakeelhashim Shakeel on x
New from Google DeepMind: Gemini 3.5 Flash Cyber, a version of 3.5 Flash “fine-tuned to find, validate, and patch vulnerabilities quickly and efficiently.” Notably, it's getting a similar staged release as Mythos and GPT-5.6: “Given the dual-use nature of this technology, we
@gavinpurcell Gavin Purcell on x
i guess 3.5 pro maybe put on the sidelines for now
@bdsqlsz @bdsqlsz on x
Codex was meant to reset today, but after seeing that Gemini 3.6 Flash came out and testing it out, they decided not to reset.😭 [image]
@google @google on x
Today we're expanding the Gemini family with three new models built to be faster, more token efficient, and reliable at scale. Meet the new Gemini models ↓ [video]
@joshwoodward Josh Woodward on x
Today's launches are all about better performance, lower latency, and a smaller bill. + 3.6 Flash cuts token usage by up to 65% on complex coding + 3.5 Flash-Lite reaches speeds of 350 output tokens/sec Both are live in the Gemini app today! Next up: Gemini 3.5 Pro, which has o…
@lyalindotcom Dmitry Lyalin on x
Hey friends, today we've shipped Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber! As for Gemini 3.5 Pro, it's going to be released when ready, it is not ready to go out today. our newest 3.6 flash model: ✅ 3.6 Flash delivers better coding, knowledge work, and
@kimmonismus @kimmonismus on x
Google has begun pre-training Gemini 4, marking a completely new foundation model. This is really exciting! The announcement blog for 3.6 Flash states that Gemini 4 is being completely revamped. Presumably, the recent developments for 3.5 Pro were disappointing, so they're sta…
@_anshulr Anshul Ramachandran on x
Gemini 3.6 Flash day! More efficient and smarter than 3.5 Flash. 3.5 Pro is in testing, 4.0 is in training, and we're excited about all to come :)
@yuchenj_uw Yuchen Jin on x
I hope Gemini 4 will make a strong comeback... [image]
@osanseviero Omar Sanseviero on x
Introducing Gemini 3.5 Flash Lite and Gemini 3.6 Flash🔥 We incorporated all the feedback from the last couple of weeks and... 🥁 - More token efficiency, fewer unneeded tool calls, less eagerness - Reduced Gemini 3.6 Flash pricing - Quality improved - And a lot more! [image]
@koraykv Koray Kavukcuoglu on x
Introducing Gemini 3.6 Flash & 3.5 Flash-Lite — built on developer and customer feedback for scaling AI agents. 3.6 Flash: our workhorse model delivers better coding, knowledge work, and multimodal performance while reducing token usage. 3.5 Flash-Lite: fastest, most [video]
@patloeber Patrick Loeber on x
Introducing Gemini 3.6 Flash and 3.5 Flash-Lite! ⚡3.6 Flash fixes key issues and improves token efficiency, all at a lower price point than 3.5 Flash 💡3.5 Flash-Lite is a major leap over 3.1 FL, making it the perfect choice for ultra-cheap, high-throughput tasks
@shakeelhashim Shakeel on x
Note the timing here — Alphabet reports earnings tomorrow, and is sure to face questions from investors asking why GDM appears to have fallen so far behind OpenAI and Anthropic.
@officiallogank Logan Kilpatrick on x
I am very excited about Gemini 3.5 Flash-Lite, our smallest and fastest Gemini model! - it is more intelligent in many cases than Gemini 3 - same cost and smarter than Gemini 2.5 Flash (which is approaching end of life) - also out paces 3.1 Flash-Lite on most use cases! [image]
@lyalindotcom Dmitry Lyalin on x
Working in DeepMind day-to-day you see there is a lot of optimism... and trust me its grounded in reality. Folks are working damn hard.
@thehackersnews @thehackersnews on x
⚡ Google built an AI that finds and patches software vulnerabilities on its own, and it's capable enough that Google won't release it publicly. In testing, “Gemini 3.5 Flash Cyber” found more new bugs than rival models and even wrote a working exploit that slipped past standard […
@stockmktnewz Evan on x
GOOGLE JUST LAUNCHED THREE NEW GEMINI MODELS. Google $GOOGL announced Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. Pricing: Gemini 3.6 Flash: $1.50 per million input tokens, $7.50 per million output tokens Gemini 3.5 Flash-Lite: $0.30 per million input [im…
@elonmusk Elon Musk on x
@OfficialLoganK [image]
@googleai @googleai on x
Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and […
@arena @arena on x
Gemini 3.6 Flash has landed #12 with 1537 pts in the Frontend Code Arena. This release is a significant improvement from Gemini 3.5 Flash (#21->#12). Across domains it ranks: - #8 Reference-Based Design - #9 Content Creation Tools - #10 Brand & Marketing - #12 Simulations - #13 […
@officiallogank Logan Kilpatrick on x
This model is much more efficient and spend a lot less tokens to deliver better performance! [image]
@bindureddy Bindu Reddy on x
Google Gemini's AI Problem - Flash is a good chat model but is WORSE than Grok on agentic loops. Even simple ones - Pro is a legacy model - Veo is too expensive. SeeDance is better - Nanobanan Pro is old. GPT image is better - Flash Lite has high latency, so it's not really ve…
@fredericl Frederic Lardinois on x
The new Gemini models are here. And while Google surely has plenty of users, nobody I've talked to in the last month or 2 has brought up Gemini. It's all OpenAI and Anthropic, and Codex and Claude (and now the open models). Never Gemini. Never Antigravity. https://thenewstack.io/…
@artificialanlys @artificialanlys on x
Gemini 3.6 Flash's cost per task decreases ~18% compared to Gemini 3.5 Flash, while Gemini 3.5 Flash-Lite's cost more than doubles compared to 3.1 Flash-Lite. Cost to run is driven by both model token use and token price, and both models have new token prices compared to their [i…
@umesh__digital Umesh Kumar Yadav on x
Gemini 3.5 Pro after learning that Kimi K3 is on par with Claude 5: “Looks like I need another training run.” [video]
@testingcatalog @testingcatalog on x
GOOGLE 🔥: Gemini 3.6 Flash and Gemini 3.5 Flash Lite models are now available on Google AI Studio and Vertex API. > gemini-3.6-flash: “Our most intelligent model yet for sustained frontier performance in agentic and coding tasks.” > gemini-3.5-flash-lite: “High-throughput, [image…
@justingorya Justin on x
Gemini 3.6 flash is now available inside Vertex AI. first impression: meh.. i still hope in a Google deepmind comeback but i think it will take 2-3 months. They need a new foundation model because 3.5 isn't it.. here is the result of the exact same prompt compared to GPT-5.6 [vid…
@synthwavedd Leo on x
Gemini 3.6 Flash is now available on Vertex AI but things are so bleak Logan doesn't even say “Gemini” anymore
@lentils80 @lentils80 on x
Some of the first Gemini 3.6 Flash outputs for y'all, and yeah... Genuinely the worst results I've ever gotten on these two prompts. Terrible frontend capability (2 shot btw) and spatial reasoning, at least it's very fast ig I cope this isn't actually running on High thinking [vi…
Mohan Raghu Mohan Raghu on linkedin
We are excited to introduce our latest Gemini models: — 3.6 Flash: This workhorse model enhances coding, knowledge work, and multimodal performance. …
@sungkim Sung Kim on bluesky
Google Gemini 3.6 Flash — Our AI models are not the best nor the cheapest, but we're slowly improving our model and lowering our prices. — blog.google/innovation-a... [image]
@isolyth.dev Eris on bluesky
New Gemini flash and cyber models but they probably get mogged by Kimi so who cares y'know
r/Bard r on reddit
Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
r/GeminiAI r on reddit
Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
@argvee Heather Adkins on x
Congrats to the Google Deepmind team on Gemini 3.5 Flash Cyber! A cost-efficient, highly capable alternative to heavyweight cyber models that doesn't just find, but fixes vulnerabilities. Finding security vulns is only part of the battle: fixing them takes time & resources.
@rowancheung Rowan Cheung on x
AI models pushing the frontier are a growing challenge for cybersecurity. A few weeks ago, I asked Demis what's underhyped in AI right now and on his mind: “I'm very excited about this new agentic era and you can see us leaning into that” “But of course we've also gotta think ab…
@alexstamos Alex Stamos on x
If the Trump Administration really cared about competition with China they would be focusing on getting this in the hands of every security team in America and our allies instead of flirting with banning open-weight models.
Patrick Musau, Ph.D. Patrick Musau, Ph.D. on linkedin
A year ago, CodeMender was a research idea: could an AI agent actually find a vulnerability, prove it was real, and fix it, without a human doing the hard part? …
Yeongjin Jang Yeongjin Jang on linkedin
GDM's cyber model is out. A notable part is that the base model is flash, which is much faster than other competitors' much bigger models. …
@synthwavedd Leo on x
Gemini 3.6 Flash benchmarks are out, and it's... beaten by other models on code tasks, and is only really consistently SoTA on vision and context benchmarks. But hey, 3.1 Pro is now so old 3.6 Flash outperforms it across the board 😭 [image]
@mweinbach Max Weinbach on x
While I didn't have early access to this one, I'm excited to try it! Big Gemini 3.5 Flash fan, but GPT 5.6 Luna stole me away because it was cheaper and faster Gemini 3.6 Flash seems to maybe bring it back to Gemini!
@bindureddy Bindu Reddy on x
Gemini 5.6 flash has a new low price :) Literally the BEST CHAT model in the world 🚀🚀 [image]
@arrakis_ai Choi on x
A lot of people are saying Google is falling behind after Gemini 3.6 Flash. I think they're reading it the wrong way. To me, Google has changed its strategy. Yes, Gemini is behind GPT-5.6 Luna, Grok 4.5, and Claude Sonnet 5 in coding. But it leads in computer use, visual
@antigravity @antigravity on x
Gemini 3.6 Flash is live in Antigravity! ⚡️ Building on 3.5 Flash feedback, it consumes up to 17% fewer output tokens while completing complex workflows in fewer reasoning steps and tool calls. [image]
@caseynewton Casey Newton on bluesky
Frontier labs don't generally announce when they are starting pre-training. Among other things it serves as a kind of anti-hype for your current-generation models — and Gemini 3.5 Pro has enough anti-hype around it already [embedded post]
@googledeepmind @googledeepmind on x
We're rolling out three new models to make AI agents faster, smarter, and cheaper at scale: 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks [im…
@kimmonismus @kimmonismus on x
Its release day. Gemini 3.6 Flash - It's cheaper than Gemini 3.5 Flash ($7.50 output instead of $9.00 output). - It outperforms Gemini 3.1 Pro in almost every benchmark. It's being compared to GPT-5.6 Luna and Sonnet 5. Priced between these two models, it generally performs b…
@adamholtererer Adam Holter on x
Gemini 3.6 Flash Frontend Test: Without Skills vs. With Skills [image]
@github @github on x
🆕 @GoogleAI's Gemini 3.6 Flash is now generally available and rolling out in GitHub Copilot. ➡️ It is designed for web and app development, coding and agentic tasks ➡️ In testing, it demonstrated higher task-completion rates and better token efficiency than Gemini 3.5 Flash
@opencode @opencode on x
Gemini 3.6 Flash and 3.5 Flash Lite now available in OpenCode - 1M context - 3.6 Flash: 17% cheaper output than 3.5 Flash - 3.5 Flash Lite: 80% cheaper than 3.5 Flash
@officiallogank Logan Kilpatrick on x
Say hello to Gemini 3.6 Flash, designed to be higher intelligence, more token efficient, and with a new lower price, based directly on developer feedback! 3.6 Flash continues our progress towards models that are deeply usable in real world scenarios! [image]
@adamholtererer Adam Holter on x
Gemini 3.6 Flash Benchmarks: [image]
@chetaslua @chetaslua on x
Told you all Gemini 3.6 Flash is worse than grok 4.5 in all coding task Sonnet 5 > Grok 4.5 > GPT 5.6 Luna > Gemini 3.6 Flash At this point I genuinely want google to be serious , I was one of the guy who praises google last year was so hyped now I think it's just lack of [image]
@scaling01 @scaling01 on x
Gemini 3.6 Flash is slightly more token-efficient than 3.5 but idk why you would take anything but Grok 4.5 or Sol on lower reasoning settings right now [image]
@pankajkumar_dev Pankaj Kumar on x
Gemini 3.6 Flash is now available in Google AI Studio. Pricing: $1.50/M input • $7.50/M output Knowledge cutoff: March 2026 [image]
@ai_for_success AshutoshShrivastava on x
⚡️Gemini 3.6 Flash is now available in Google AI Studio, and it's cheaper than Gemini 3.5 Flash. Pricing: - Input: $1.50 - Output: $7.50 (Gemini 3.5 Flash: $9.00) Knowledge cutoff: March 2026. [image]
@synthwavedd Leo on x
DeepMind should just surrender all of their compute to Moonshot wtf is this 💔
@mgsiegler.com M.G. Siegler on bluesky
Flash has now lapped 3.5 Pro, which is still AWOL. (Worse, so has Meta?!) With the touting of ‘3.5 Flash-Cyber’ - not to mention the mention of Gemini 4 pre-train work starting, seems fair to wonder if 3.5 Pro is a dud, like Llama 4 ‘Behemoth’ before it.. spyglass.org/google-ge…

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