Google launches Gemini 3.8 Flash Cyber for partners in its new Fairwind Program and says Gemini 3.8 Flash beats Claude Opus 5 and GPT-5.6 Sol on some benchmarks

Our newest Gemini models deliver next-generation intelligence for agentic workflows and cybersecurity.

Google 2026-09-03

Context & Ripple Effects

Google has been moving its Flash line along both efficiency and specialization tracks: Gemini 3.1 Flash-Lite was positioned as a lower-cost option, while the Gemini 3.6 release added a Flash Cyber variant. Google also said 3.6 Flash reduced token use and per-token cost versus its predecessor, making speed and serving efficiency part of the product argument.

Gemini 3.8 Flash Cyber extends that sequence into a partner channel through Fairwind. Google’s claimed benchmark lead over Claude Opus 5 and GPT-5.6 Sol makes the release a procurement-positioning move as well as a model update.

First-order effects

Fairwind partners gain access to Gemini 3.8 Flash Cyber for vulnerability discovery and patching workflows, concentrating Google’s initial cybersecurity-model distribution in the program.
Google puts Claude Opus 5 and GPT-5.6 Sol directly into the comparison set for partner evaluations, based on its stated benchmark results.

Second-order effects

Security-service partners can differentiate their offerings around a Google-supplied cyber model, shifting competition toward the quality and speed of agentic remediation workflows.
Anthropic and the provider behind GPT-5.6 Sol face a more explicit benchmark response point in cybersecurity evaluations, rather than competing only on general-purpose model capability.

Third-order effects

The Flash product line points toward a market in which fast, lower-serving-cost base models are packaged into domain-specific agents and distributed through controlled partner programs.
If partner-gated cyber models prove useful in deployment, enterprise AI competition will increasingly hinge on access channels and workflow integration alongside benchmark scores.

The trend: Frontier-model vendors are turning efficient general-purpose models into specialized agent products, with partner ecosystems becoming a key route into security workflows.

Discussion

@wallstengine @wallstengine on x
$GOOGL LAUNCHES GEMINI 3.8 FLASH CYBER Its new cybersecurity model hit 86.2% on CyberGym and 47.2% on CWE-Bench, with a 70%+ success rate finding vulnerabilities across 20 programming languages. On real Chrome security bugs, Google says it produced 2.6x more correct patches than…
@yangsibohuang Yangsibo Huang on x
Excited to bring Gemini 3.8 Flash Cyber to you! As a Flash model, it already matches or beats Fable 5 and 5.6 Sol across a range of vulnerability finding and patching benchmarks. We're taking a deliberately cautious, safety-first approach to cyber capabilities—aiming to give de…
@sundarpichai Sundar Pichai on x
Beyond benchmarks, we're seeing impressive real-world use cases. For example, in evaluations on real Chrome security bugs, 3.8 Flash Cyber produced 2.6x more correct patches for vulnerabilities than larger models. Because of its advanced capabilities, we're giving Government ag…
@sundarpichai Sundar Pichai on x
We're also introducing Gemini 3.8 Flash Cyber, our most capable cybersecurity model. It shows frontier-level performance in discovering vulnerabilities and patching them at scale, with Flash-level speed & pricing. That includes achieving 86.2% on the important CyberGym industry b…
D Shin D Shin on linkedin
Gemini 3.8 Flash = A RSI-pilled model — We launched 3.8 Flash today and noted in the launch blog how we were able to design extremely long-running agent loops …
Srivarshan Selvaraj Srivarshan Selvaraj on linkedin
Proud to see the team ship Gemini 3.8 Flash and 3.8 Flash Cyber! — The core focus was preserving 3.7's insane speed and serving efficiency while pushing the frontier on long-horizon reasoning. …
Shawn Horton Shawn Horton on linkedin
Just three weeks after #Gemini 3.7 Flash, we're taking another massive leap forward with the release of Gemini 3.8—delivering frontier-level reasoning …
Oliver Parker Oliver Parker on linkedin
Today, I'm thrilled to share two massive milestones in our model roadmap designed to accelerate putting intelligence into production: the launch of Gemini 3.8 Flash and Gemini 3.8 Flash Cyber. …
r/singularity r on reddit
Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
r/GeminiAI r on reddit
Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
@thefox Nick Fox on x
Less than three weeks after 3.7, we're introducing Gemini 3.8 Flash 🚀 Available today in AI Mode in Google Search and the Gemini app for Google AI Pro & Ultra subscribers. Check it out!
@sundarpichai Sundar Pichai on x
Today we're introducing a new 3.8 Flash model, our 3rd Flash release in just 6 wks. It delivers significant leaps from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. On DeepSWE v1.1, it outperforms most larger frontier models in autonomously solvi…
@synthwavedd Leo on x
Google have, dare I say... RELEASED A GOOD MODEL 🥹 Gemini 3.8 Flash provides ~Opus 5 performance at much lower cost, while being super fast
@arena @arena on x
Gemini 3.8 Flash (High) by @GoogleDeepMind is here! It just debuted across Agent Arena, Text Arena, and Code Arena: WebDev. In Agent Arena, it landed #14 with +5.94% net improvement. This ranks just above DeepSeek-V4-Pro at #15 (+5.91%) and is a significant jump from Gemini 3.7 F…
@officiallogank Logan Kilpatrick on x
Introducing Gemini 3.8 Flash, another jump in Gemini's agentic + coding capabilities, and our 3rd updated Flash model in only 6 weeks... This model has been a ton of fun to work with, excited to see what you all think!
@googledeepmind @googledeepmind on x
Two new Gemini models are here to help scale your AI agents and secure code: 🔘 3.8 Flash: our most intelligent model yet with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. 🔘 3.8 Flash Cyber: our most capable cybersecurity m…
@_mohansolo Varun Mohan on x
Gemini 3.8 Flash is out! It's a substantial improvement over 3.7 Flash on agentic coding and general knowledge work. We've really enjoyed using it internally. It's now available to everyone on Antigravity.
@google @google on x
Introducing Gemini 3.8, our best reasoning & coding model yet. By leveraging long-running agentic loops, we're building on the momentum of 3.7 Flash from just three weeks ago to release two new 3.8 variants: Meet Gemini 3.8 Flash and Gemini 3.8 Flash Cyber 🧵
@koraykv Koray Kavukcuoglu on x
Today we're launching Gemini 3.8 Flash Cyber and Gemini 3.8 Flash. ⚡️🛡️ 3.8 Flash Cyber is our most capable cybersecurity model for finding and fixing vulnerabilities. It sits on the Pareto Frontier on CWE-Bench for patching. Available to trusted defenders through our new Fairwin…
@artificialanlys @artificialanlys on x
Google has released Gemini 3.8 Flash, its fourth Flash model in under four months - it scores 59 on the Artificial Analysis Intelligence Index and reaches the Intelligence vs. Cost per Task Pareto frontier @GoogleDeepMind released Gemini 3.8 Flash today. With high reasoning, it s…
@kimmonismus @kimmonismus on x
Gemini 3.8 Flash benchmarks. And holy cow! Flash outperforms 5.6 sol and opus 5 on terminal bench 2.1, HLE and much more. Google is back!
@theo @theo on x
Google has: 1. The worst harness of any lab 2. The worst code apps of any lab 3. The only lab with zero 3p integration option 4. The most painful bans (since it's your full Google acct) 5. The most trigger-happy ban policies It is a legitimate risk to use Antigravity stuff until …
@johnennis John Ennis on x
Gemini 3.8 flash looks like a real banger Opus 5 coding quality but at a fraction of the cost and super fast And none of this is even accounted for the fact the model is natively multi modal This is going to be so awesome for things like making remotion videos
@demishassabis Demis Hassabis on x
Introducing Gemini 3.8 Flash, another upgrade in under a month! And the new 3.8 Flash Cyber pushes the frontier of cyber defense. Relentless progress 🚀 More on the models & our cyber security work in the blog - happy building! https://blog.google/...
@ml_angelopoulos Anastasios Nikolas Angelopoulos on x
Gemini 3.8 flash is a big improvement over 3.7, especially in terms of user satisfaction. Double-digit lift in the percentage of explicit user praise. Also better at steerability and bash. It's cool to see that models can still see a raw 20% jump in performance these days.
@valsai @valsai on x
Gemini 3.8 Flash scores 62.3% on the Vals Index, fifth behind Fable 5.1, Opus 5, Fable 5, and GPT-5.6 Sol. 3.8 Flash is within 5pts from the leader at a fraction of the price - putting it on the Pareto frontier.
@hesamation @hesamation on x
BRO WHAT?
@officiallogank Logan Kilpatrick on x
3.8 Flash is the same price as 3.7, is ~the same speed, and is available via the Gemini API, in AI Studio, Antigravity, Gemini App, and more! Read more: https://blog.google/... So incredible to see the progress and hard work from the team. Pushing hard to be at the frontier.
@rseroter Richard Seroter on x
⚡️Gemini 3.8 Flash is here⚡️ Just three weeks after Gemini 3.7 Flash, we're back with a model that's fantastic at coding and agentic stuff. All for a cost that's a *fraction* of other models. https://blog.google/...
@joshwoodward Josh Woodward on x
3.8 Flash rolling out to @GeminiApp
@dynamicwebpaige @dynamicwebpaige on x
$0.75 in / $3.75 out opus 5 is $5 / $25 ...and it's ahead on terminal coding, finance agents, chart reasoning, and long video! ⚡️flash has stopped being the compromise tier, test it out today on your toughest problems (and please let us know what you think!):
@matt_slotnick Matt Slotnick on x
appears to be a significant step forward on cost-perf curve at the frontier
@rohanpaul_ai Rohan Paul on x
Gemini 3.8 Flash is out. beats Claude Opus 5 on some really important benchmarks. - 54.9% on HLE-Verified vs 54.4% for Claude Opus 5 - Terminal-Bench 2.1, that test tests whether an agent can actually operate a terminal and successfully finish difficult coding, security, ML, data…
@cheatyyyy @cheatyyyy on x
Gemini 3.8 Flash scores 59 on the Artificial Analysis Intelligence Index! A big jump from 56->59!
@emollick Ethan Mollick on x
Had early access to Gemini 3.8 Flash, it is a very good Flash model, but not equivalent to a frontier model, though. Here is Gemini 3.8 Flash's version of the shader with the same prompts (which it provided very quickly)
@dalmaer Dion Almaer on x
Wasn't 3.7 just released? Yup, models are cooking super fast now and this means, you can jump in and use Gemini 3.8 Flash... and the design quality is so much better in my testing (and our evals!).
@cheatyyyy @cheatyyyy on x
Gemini 3.8 Flash benchmarks are out! It beats Opus 5 on a wide variety of benchmarks, and is over 5x cheaper while being MUCH, much faster! (more than 6x faster) https://x.com/...
@haider1 Haider on x
wtf, google shipped opus 5 / gpt-5.6 sol-level capability in a flash model gemini 3.8 flash: $0.75/$3.75 per 1m tokens gpt-5.6 sol: $4/$20 opus 5: $5/$25 beats opus 5 on HLE, finance, legal, and Terminal-bench 2.1, while also beating 5.6 sol across a bunch of these evals
@lentils80 @lentils80 on x
Gemini 3.8 Flash benchmarks are officially out and apparently it beats Opus 5 and Sol 5.6 on most benches shown here??
@officiallogank Logan Kilpatrick on x
Gemini 3.8 Flash on DeepSWE 1.1, scores 73.7%!
@burkov @burkov on x
Same price and same speed mean that Gemini 3.8 Flash is currently the best model to be used as a general-purpose API. Based on the benchmarks, it has a high chance to also be the best model for coding, but this will take time to test.
@ziv_ravid Ravid Shwartz Ziv on x
As always, never bet against Google :)
@theo @theo on x
I don't think people understand just how risky it is to try and use their Google Gemini subscriptions outside of Google's official surfaces. You can get your ENTIRE GOOGLE ACCOUNT BANNED. OpenAI or Anthropic ban? Annoying but whatever Google account ban? Legit life ruining.
@harshithlucky3 @harshithlucky3 on x
Brooo WTFF Gemini 3.8 Flash tops DeepSWE v1.1 benchmark
@ai_for_success AshutoshShrivastava on x
GOOGLE IS SO BACK 🔥 Gemini 3.8 Flash is beating GPT-5.6 Sol and Claude Opus 5 on several benchmarks, while costing significantly less and being extremely fast. It's already live for me in the Gemini app.
@googleai @googleai on x
We're introducing Gemini 3.8 Flash ⚡️ built to tackle complex agentic and multi-step tasks with even greater diligence. Our most intelligent workhorse model yet delivers significant improvements in reasoning, evolving to an AI partner that doesn't just write code, but can also na…
@itspaulai Paul Couvert on x
Gemini 3.8 Flash is a VERY important model Because 3.7 Flash was released just 20 days ago... and was a big leap over 3.6 Flash. This new version is ~ on par with Opus 5 and GPT-5.6 Sol while being: - 6x CHEAPER than Claude Opus 5 - 5x CHEAPER than GPT-5.6 Sol Yes 🤯 That's why Fl…
@ammaar Ammaar Reshi on x
Gemini 3.8 Flash is here! 🚀 Only 3 weeks since the last release, we now have a flash model that beats flagship ones on a variety of benchmarks all for just $0.75 / million input tokens. Available today in AI Studio, Gemini app, and Antigravity. Back to shipping :)
@google @google on x
⚡ Gemini 3.8 Flash: Our most intelligent workhorse model yet. It delivers upgrades across coding, agentic workflows, and critical multi-step reasoning at the same speed and low cost of 3.7 Flash. 🛡️ Gemini 3.8 Flash Cyber: Our most capable cybersecurity model, delivering frontier…
@saboo_shubham_ Shubham Saboo on x
Another week...new Gemini 3.8 Flash model. Same price, much better performance for your AI agents. We are Shippin 🚢
@osanseviero Omar Sanseviero on x
Gemini 3.8 is here🔥 Building with it for the last couple of days has been a very fun experience! The progress in the last months has been impressive. It's a very well rounded agentic model, performing well in many domains (finance/legal/etc) and modalities Time to build!
@googleai @googleai on x
Identifying security flaws is only half the battle; generating automated, reliable fixes in real time is where defense gets real. Enter Gemini 3.8 Flash Cyber ⚡️🛡 The new release is a major improvement from our 3.5 generation and among our most capable defensive models to date. B…
@galnagli @galnagli on x
Excited to collaborate with the @GoogleDeepMind team on evaluating the latest Cyber Gemini model! It's a significant leap forward in Bug Bounty Hunting and Penetration Testing - while being faster and cheaper as a Flash Model, and there's still more to come 🪄
Tom Lue Tom Lue on linkedin
Organizations deploying AI for cyber defense have often faced a dilemma: adopt massive, expensive frontier models, or rely on smaller open-weight models that struggle with complex remediation. …

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