Google releases faster Gemini 3.6 Flash and cybersecurity models as 3.5 Pro stays delayed
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[1]
Google reveals faster and cheaper Gemini 3.6 Flash, says 3.5 Pro is still in testing
Google announced a significant evolution of its AI models at I/O in May with the release of Gemini 3.5 Flash, and it's not slowing down. The company has revealed three new AI models today, including its first version of Gemini geared toward cybersecurity. However, none of the new models is the
[2]
Google releases three new Gemini models -- but no 3.5 Pro
On Tuesday, Google DeepMind released Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber. Gemini 3.6 Flash is Google's "workhorse model" that promises improved capabilities in coding, knowledge work, and multimodal performance while reducing token usage by up to 17%, making it cheaper than its
[3]
Google Releases 3 New Gemini Models, 3.5 Pro Still Not Available - CNET
Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a keyboard, you'll most likely find him playing video games or watching horror movies. Google released
[4]
Gemini 3.5 Pro is late but Gemini 4 will be great, says Google CEO
A more frequent model release cycle may bring faster improvements to capabilities and pricing, but CIOs will pay the price in testing, governance and validation, analysts say. Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model.
[5]
Google expands Gemini lineup with cheaper models and new Mythos rival
The launch comes one day before Alphabet earnings as Chinese rivals gain ground and Google works to improve the timing, scale and efficiency of its AI releases. Alphabet is releasing three new Gemini models on Tuesday, including its clearest answer yet to Anthropic's lead in cybersecurity, as the
[6]
Google Releases Three New Gemini A.I. Models
The models include one that is the company's most powerful and another that is fine-tuned for cybersecurity, as Google competes with rivals like OpenAI and Anthropic. Google on Tuesday released three new artificial intelligence models, including Gemini 3.6 Flash, its most powerful, and Gemini 3.5
[7]
Google launches Gemini 3.6 Flash and a Mythos rival
Google just flooded the market with three cheap, fast Gemini models, including a security model aimed straight at Anthropic. But it held back the one everyone actually wanted, its delayed flagship, and teased a Gemini 4 that so far exists only as a training run. Google's answer to a summer of
[8]
Google expands Gemini 3.5 line with trio of new models -- and shares an update on Gemini 3.5 Pro
Google says it plans to make Gemini 3.5 Pro available broadly soon, and the team has started pre-training Gemini 4. Back in May, Google released Gemini 3.5 Flash, its smartest speed model at the time. It's been only about two months since then, but a new shiny AI model is ready to take its place.
[9]
Google launches Gemini 3.6 Flash and 3.5 Flash-Lite, teases Gemini 4
As we wait for 3.5 Pro, Google today announced Gemini 3.6 Flash and 3.5 Flash-Lite, while providing updates on what comes next. Gemini 3.6 Flash Gemini 3.6 Flash follows the last release at I/O 2026. This update takes into account developer and customer feedback since May by being "more token
[10]
Google has new Gemini models, but the one everyone wants isn't here
Google promises Gemini 3.5 Pro is coming "soon" after previous delays, leaving users with Flash models suitable for everyday tasks but not advanced work. Google just unleashed three new versions of its speedy and efficient Gemini Flash models, including an all-round workhorse and a model geared
[11]
Google's next Gemini Pro is months behind schedule as coding capabilities fall short of internal goals
Google is months behind on its flagship Gemini Pro upgrade as coding falls short, frustrating engineers who are leaving for Anthropic. Google is months behind schedule on delivering the next version of its flagship AI model, Gemini Pro, because the technology has fallen short of internal goals in
[12]
Google's next flagship Gemini model reportedly stuck months behind schedule
Coding performance appears to be a major problem, despite Google recently updating the model's training data. Google will certainly feel that it belongs at the front of the AI race with the other big hitters, but its next big Gemini model is said to be struggling to get over the line. Gemini 3.5
[13]
Google releases series of new cheaper Gemini models
Why it matters: The AI deployment race has shifted from benchmark bragging rights to who can provide the best model at the lowest price. * Gemini 3.6 Flash: a faster, cheaper successor to 3.5 Flash that Google says uses up to 17% fewer output tokens while improving coding, reasoning and multimodal
[14]
Google releases two new Gemini models, but no Gemini 3.5 Pro
Google has introduced two additions to its Gemini "Flash" lineup, along with a specialized cybersecurity model, 3.5 Flash Cyber, while holding off on releasing a long-awaited Gemini 3.5 Pro. In a July 21 blog post, Google announced Gemini 3.6 Flash and Gemini 3.5 Flash-Lite, describing them as
[15]
Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks -- and 3.5 Pro is on the way
Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50
[16]
Google launches 3 new Gemini AI models including cybersecurity tool
Gemini 3.5 Flash Cyber, built to find and patch software vulnerabilities, will initially be available only to governments and trusted partners Google $GOOGL announced three new Gemini AI models on Tuesday, including a cybersecurity-focused model designed to detect and patch software
[17]
Gemini 3.5 Pro delays due to coding performance, upgraded Flash model in testing
In mid-May, Google announced Gemini 3.5 Flash at I/O 2026 and said the Pro version would arrive in June. On stage, Google said it was "showing great improvements." That deadline has passed with no update on when to expect it. According to Bloomberg, Google is "taking time to try to improve [Gemini
[18]
Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
Developers and customers building production AI agents need higher token efficiency, lower latency, and more reliable performance. Our Flash series of models is built to meet the sweet spot of efficiency and quality to enable scaling agentic workflows. Building on Gemini 3.5 Flash, we're
[19]
Google Ships New Gemini Flash Models, But Pro Is Still Missing
Google confirmed it has begun pre-training for Gemini 4, which it calls "our most ambitious pre-training run yet." Google launched three new AI models today: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber. That wasn't what most people expected. After unveiling Gemini 3.5 Flash at Google
[20]
Where is Gemini 3.5 Pro? The case of the missing AI model.
Gemini users who were hoping to see the launch of Gemini 3.5 Pro at Google I/O 2026 left disappointed. At the May developers' conference, the company launched a lighter-weight Gemini 3.5 Flash model for everyday use. However, Google CEO Sundar Pichai assured the audience that Gemini 3.5 Pro would
[21]
Google's Gemini Flash 3.6 model cuts AI agent token costs by up to 65% on long horizon engineering tasks -- and 3.5 Pro is on the way
Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50
[22]
Google expands Gemini with cheaper models and a bug-hunter it keeps on a leash
Google LLC today launched three new Gemini Flash models and moved its CodeMender code-security agent into preview, part of a push to run artificial intelligence agents more cheaply and to automate the finding and fixing of software vulnerabilities. The new models are Gemini 3.6 Flash, an updated
[23]
Google's Gemini Flash 5.6 model cuts AI agent token costs by up to 65% on long horizon engineering tasks -- and 3.5 Pro is on the way
Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50
[24]
Google's cheaper, faster Gemini models just arrived
Google barely let its last Flash model settle in before replacing it. Gemini 3.5 Flash showed up in May as the company's speed-focused workhorse. Just two months later, Google is already moving on. The company just launched Gemini 3.6 Flash, along with two more models built for very different
[25]
Google finally gives Gemini a cheaper AI model that actually outperforms competitors
Sara Heritage is a tech and gaming journalist, who's currently making her way up to Master Ball rank in Pokemon Champions. Bylines in IGN, GAMINGbible, The Gamer and more. You can usually find her tinkering with tech, or restoring old consoles, always with one of her 3 cats nearby. Come and talk
[26]
Gemini 3.6 Flash, 3.5 Flash-Lite Launched With Focus on Faster, Cheaper Agents
Google also revealed that Gemini 4 is currently in pre-training Google on Wednesday expanded its Gemini family with the launch of Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. As per the Mountain View-based tech giant, its latest models are aimed at executing high-volume AI and agentic workloads
[27]
Google Cuts Gemini 3.6 Flash Tokens for Coding Tasks
Google DeepMind's release of Gemini 3.6 Flash brings modest updates focused on improving speed and token efficiency, with particular attention to long-context processing and chart reasoning. These refinements aim to enhance specific technical capabilities but have left some users questioning the
[28]
Google Just Released Gemini 3.6 Flash, And It Might Be Its Worst Model To-Date
Google could not have picked a worse time to deliver a chronically underpowered Gemini 3.6 Flash, coming right on the heels of stunning open-source AI models from China, such as Moonshot's Kimi K3, which employs novel architectural feats to deliver notable cost savings, all the while offering
[29]
Google Gemini Launch Delayed as Tech Falls Short of Internal Goals | PYMNTS.com
The company was widely expected to release 3.5 Pro at its developer conference in May, but it is still working to improve the model's capabilities, especially in coding, according to the report. Google said in a May 19 blog post announcing the launch of Gemini 3.5 Flash: "We're also hard at work
[30]
Google Releases Three New Gemini Models, Said to be Working on New AI Chip
These changes have come up after a few months during which time rivals OpenAI and Anthropic launched their "powerful" models Google DeepMind released three new Gemini models - 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber - that promises improved capabilities in coding, knowledge work, multimodal
[31]
Google Unveils Gemini 3.6 Flash, 3.5 Flash-Lite; Next-Gen Gemini 4 Enters Training
Google has expanded its Gemini family with the launch of Gemini 3.6 Flash and Gemini 3.5 Flash-Lite, introducing two AI models designed to deliver faster performance, lower latency, and reduced operating costs for developers and enterprises. Alongside these releases, the company also unveiled
[32]
Google launches three new Gemini AI models, expands push into cybersecurity By Investing.com
Investing.com -- oogle on Tuesday unveiled three new artificial intelligence models, including its most capable Flash model to date and a cybersecurity-focused system, as the tech giant steps up competition with OpenAI and Anthropic in the rapidly evolving AI market. The announcements come just
[33]
Google announces three new Gemini AI models as competition with OpenAI and Anthropic heats up
The long-awaited Gemini 3.5 Pro update is still missing despite growing competition from OpenAI's GPT-5 and Anthropic's latest Claude models. Google has unveiled three new additions to the Gemini AI models- Gemini 3.6 Flash, Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber. These three models are
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Google DeepMind unveiled three new Gemini models including the efficiency-focused Gemini 3.6 Flash, which uses 17% fewer tokens and costs less than its predecessor. The company also introduced Gemini 3.5 Flash Cyber for cybersecurity and Flash-Lite for high-volume tasks. However, the flagship Gemini 3.5 Pro remains delayed despite promises of a June release, while Google has already begun pre-training for Gemini 4.
Google Gemini 3.6 Flash Arrives with Enhanced Efficiency
Google DeepMind released three new Gemini models on Tuesday, marking a strategic shift toward cost-efficient AI models even as its flagship offering remains conspicuously absent
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. The star of the announcement is Gemini 3.6 Flash, which Google positions as its "workhorse model" designed to deliver improved coding capabilities, knowledge work performance, and multimodal tasks while using up to 17% fewer tokens than its predecessor2
. This token efficiency translates directly to lower costs for developers, with pricing set at $1.50 per million input tokens and $7.50 per million output tokens, down from $1.50 and $9 respectively for the now-deprecated 3.5 Flash1
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Source: Analytics Insight
The new Gemini models were built in direct response to user feedback about the 3.5 release, particularly around code generation performance that didn't meet Google's initial promises
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. In the DeepSWE test for coding, Gemini 3.6 Flash scores 49% compared to 37% for 3.5 Flash, while the OSWorld test for computer use shows improvement to 83% from 78.4%1
. The model now supports computer use as a standard feature in the Gemini API, enabling more sophisticated agentic systems that can complete tasks more accurately and in fewer steps3
.Specialized Models Target Cybersecurity and High-Volume Workloads
Alongside the flagship update, Google introduced Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber, each targeting distinct use cases within Google's AI strategy
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. Flash-Lite achieves an impressive 350 output tokens per second, making it Google's fastest and most cost-effective model at $0.30 per million input tokens and $2.50 per million output tokens. This positions it for high-volume workloads and smaller tasks within larger AI-agent systems, with Google already deploying it extensively in Google Search for AI Overviews1
.Gemini 3.5 Flash Cyber represents Google's first LLM tuned specifically for cybersecurity, designed to detect and patch software vulnerabilities
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. Google claims this specialized model performs nearly as well at finding and fixing cybersecurity issues as the much larger and more expensive Claude Mythos from Anthropic, while maintaining the efficiency of a Flash model1
. The model is already finding and fixing bugs in Google's internal codebases for Android, Chrome, and YouTube3
. However, acknowledging the dual-use nature of vulnerability detection tools, Google is restricting access through a limited pilot program exclusively available to governments and trusted partners via Google DeepMind's CodeMender agent2
.
Source: VentureBeat
Gemini 3.5 Pro Delay Raises Questions About Competitive Position
The most notable aspect of Tuesday's announcement is what Google didn't release. Gemini 3.5 Pro, the company's flagship reasoning model promised for June at the I/O conference in May, remains in testing with unnamed partners
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. Google DeepMind product lead Logan Kilpatrick stated the company hopes to "land soon" but provided no concrete timeline2
. Bloomberg reported that Google is facing internal delays as it struggles to meet performance goals, particularly in coding where the model reportedly falls short compared to offerings from OpenAI and Anthropic4
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Source: 9to5Google
This delay comes at a critical moment as competitors accelerate their release cycles. Since Google last updated its Pro model in February, OpenAI has released GPT-5.5 and begun rolling out GPT-5.6, while Anthropic has launched Claude Opus 4.8, Claude Sonnet 5, and expanded access to its frontier Fable 5 model
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. Chinese rivals are also gaining momentum, with Moonshot AI's Kimi K3 drawing enough demand to limit new subscriptions due to capacity constraints, and Alibaba teasing Qwen 3.8 Max5
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Looking Ahead: Gemini 4 and Monthly Release Cadence
During Alphabet's quarterly earnings call, CEO Sundar Pichai addressed concerns about the Gemini 3.5 Pro delay by pivoting to future plans, announcing that Google has already begun its most ambitious pre-training run yet for Gemini 4
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. Pichai also outlined plans to release subsequent AI models at an almost monthly cadence, suggesting a fundamental shift in Google's development and deployment strategy4
.Google's emphasis on price and efficiency may help offset slower timing in key product categories. Artificial Analysis data shows Gemini Flash already undercuts comparable models from Anthropic, OpenAI, and Chinese rivals on cost
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. The company is also reportedly developing a specialized chip designed to run Google Gemini up to 10 times more efficiently, part of a broader push to lower serving costs through its custom chips, cloud infrastructure, and integrated hardware-software design5
. All new models are available starting today for developers through the Gemini API via Google AI Studio and Android Studio, with Gemini 3.6 Flash also available in the Gemini app3
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