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Investing in multi-agent AI safety research DiffusionGemma: 4x faster text generation Fluid, natural voice translation with Gemini 3.5 Live Translate Measuring the impact of learning with AI in Sierra Leone and beyond Powering the future of robotics in Europe Introducing Gemma 4 12B: a unified, encoder-free multimodal model Strengthening Singapore’s AI Future: A New National Partnership Simulate real-world places with Project Genie and Street View Introducing Gemini Omni Gemini for Science: AI experiments and tools for a new era of discovery Making it easier to understand how content was created and edited Co-Scientist: A multi-agent AI partner to accelerate research How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica Fast-tracking genetic leads to reverse cellular aging Finding the molecular switches behind new infectious diseases Opening new paths in aging research Accelerating discovery of liver disease mechanisms Uniting biological toolkits for a new approach to ALS Uncovering repurposed medicines to fight liver fibrosis Google Antigravity We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. Reimagining the mouse pointer for the AI era AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields Enabling a new model for healthcare with AI co-clinician Announcing our partnership with the Republic of Korea Decoupled DiLoCo: A new frontier for resilient, distributed AI training Partnering with industry leaders to accelerate AI transformation Gemini 3.1 Flash TTS: the next generation of expressive AI speech Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning Gemma 4: Byte for byte, the most capable open models Gemini 3.1 Flash Live: Making audio AI more natural and reliable Protecting people from harmful manipulation Lyria 3 Pro: Create longer tracks in more Google products Measuring progress toward AGI: A cognitive framework From games to biology and beyond: 10 years of AlphaGo’s impact Gemini 3.1 Flash-Lite: Built for intelligence at scale Nano Banana 2: Combining Pro capabilities with lightning-fast speed Gemini 3.1 Pro: A smarter model for your most complex tasks A new way to express yourself: Gemini can now create music Accelerating discovery in India through AI-powered science and education Gemini 3 Deep Think: Advancing science, research and engineering Accelerating Mathematical and Scientific Discovery with Gemini Deep Think Project Genie: Experimenting with infinite, interactive worlds D4RT: Teaching AI to see the world in four dimensions Veo 3.1 Ingredients to Video: More consistency, creativity and control Google's year in review: 8 areas with research breakthroughs in 2025 Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior Google DeepMind supports U.S. Department of Energy on Genesis: a national mission to accelerate innovation and scientific discovery Gemini 3 Flash: frontier intelligence built for speed Improved Gemini audio models for powerful voice interactions Deepening our partnership with the UK AI Security Institute Strengthening our partnership with the UK government to support prosperity and security in the AI era FACTS Benchmark Suite: Systematically evaluating the factuality of large language models Engineering more resilient crops for a warming climate AlphaFold: Five years of impact Revealing a key protein behind heart disease How we’re bringing AI image verification to the Gemini app Build with Nano Banana Pro, our Gemini 3 Pro Image model Introducing Nano Banana Pro We’re expanding our presence in Singapore to advance AI in the Asia-Pacific region Start building with Gemini 3 A new era of intelligence with Gemini 3 Google Antigravity WeatherNext 2: Our most advanced weather forecasting model SIMA 2: An Agent that Plays, Reasons, and Learns With You in Virtual 3D Worlds Teaching AI to see the world more like we do How AI is giving Northern Ireland teachers time back Mapping, modeling, and understanding nature with AI Accelerating discovery with the AI for Math Initiative MedGemma: Our most capable open models for health AI development VaultGemma: The world's most capable differentially private LLM Bringing AI to the next generation of fusion energy Introducing Veo 3.1 and advanced capabilities in Flow How a Gemma model helped discover a new potential cancer therapy pathway Introducing the Gemini 2.5 Computer Use model Introducing CodeMender: an AI agent for code security Gemini Robotics 1.5 brings AI agents into the physical world Strengthening our Frontier Safety Framework Discovering new solutions to century-old problems in fluid dynamics Gemini achieves gold-medal level at the International Collegiate Programming Contest World Finals Using AI to perceive the universe in greater depth Image editing in Gemini just got a major upgrade Introducing Gemma 3 270M: The compact model for hyper-efficient AI How AI is helping advance the science of bioacoustics to save endangered species Genie 3: A new frontier for world models Rethinking how we measure AI intelligence Try Deep Think in the Gemini app AlphaEarth Foundations helps map our planet in unprecedented detail Aeneas transforms how historians connect the past Gemini 2.5 Flash-Lite is now stable and generally available Exploring the context of online images with Backstory Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad T5Gemma: A new collection of encoder-decoder Gemma models Introducing Gemma 3n: The developer guide AlphaGenome: AI for better understanding the genome Gemini Robotics On-Device brings AI to local robotic devices We’re expanding our Gemini 2.5 family of models Gemini 2.5: Updates to our family of thinking models Behind “ANCESTRA”: combining Veo with live-action filmmaking How we're supporting better tropical cyclone prediction with AI
Gemini 3.5: frontier intelligence with action
Koray Kavukcuoglu · 2026-05-20 · via Google DeepMind News

Gemini 3.5 is built to help you execute complex, agentic workflows.

Gemini 3.5 text and multi-colored star icon on an abstract blue background.

Today, we’re introducing Gemini 3.5, our latest family of models combining frontier intelligence with action. This represents a major leap forward in building more capable, intelligent agents. We’re kicking off the series by releasing 3.5 Flash. It delivers frontier performance for agents and coding, excelling at complex long-horizon tasks that deliver real-world utility.

3.5 Flash is available today to billions of people globally:

  • For everyone via the Gemini app and AI Mode in Google Search
  • For developers in our agent-first development platform Google Antigravity and Gemini API in Google AI Studio and Android Studio
  • For enterprises in Gemini Enterprise Agent Platform and Gemini Enterprise.

We’re also hard at work on 3.5 Pro. It's already being used internally, and we look forward to rolling it out next month.

3.5 Flash: frontier performance for agents and coding

Gemini 3.5 Flash delivers intelligence that rivals large flagship models on multiple dimensions, at the speeds you have come to expect from the Flash series. It’s our strongest agentic and coding model yet, outperforming Gemini 3.1 Pro on challenging coding and agentic benchmarks like Terminal-Bench 2.1 (76.2%), GDPval-AA (1656 Elo) and MCP Atlas (83.6%), and leading in multimodal understanding (84.2% on CharXiv Reasoning). When looking at output tokens per second, it is 4 times faster than other frontier models.

Performance comparison table of Gemini, Claude, and GPT models across various benchmarks, highlighting Gemini 3.5 Flash.

Landing in the top-right quadrant of the Artificial Analysis index, 3.5 Flash delivers frontier-level intelligence at exceptional speed — proving you no longer have to trade quality for latency.

an image showing "Artificial Analysis Intelligence Index vs Output Speed

3.5 Flash: agentic tasks at scale

This balance of speed and performance makes 3.5 Flash ideal for tackling long-horizon agentic tasks. What used to take a developer days or an auditor weeks, 3.5 Flash can now help complete in a fraction of the time, often at less than half the cost of other frontier models. It rapidly plans, builds and iterates to solve real-world problems, whether it’s developing new applications, maintaining codebases or helping to prepare financial documents.

When coupled with the updated Antigravity harness, 3.5 Flash becomes a powerful engine for deploying collaborative subagents to tackle problems at scale for the most demanding use cases. Under supervision, it can reliably execute multi-step workflows and coding tasks while sustaining frontier performance.

Powered by Antigravity, 3.5 Flash executes multi-step workflows to automatically rename and categorize unstructured assets based on dynamic criteria.

Leveraging Antigravity, 3.5 Flash uses two agents to synthesize the AlphaZero paper and code a fully playable game in six hours.

3.5 Flash uses the Antigravity harness to transform a messy legacy codebase to Next.js.

3.5 Flash uses subagents to create new city landscapes in Antigravity.

3.5 Flash uses two agents: a builder and a player, working in a rapid self-improvement loop to develop a game in Antigravity.

Building on the strong multimodal foundation of Gemini 3, 3.5 Flash generates richer, more interactive web UIs and graphics.

3.5 Flash creates interactive animations for a research paper on AI Studio.

3.5 Flash turns a plain text description into interactive hardware on AI Studio.

3.5 Flash executes multiple concepts in parallel to build a full branding concept for a school fundraiser on AI Studio.

3.5 Flash generates different UX approaches for a checkout flow in just 60 seconds on AI Studio.

3.5 Flash: real-world impact

3.5 Flash’s real-world agentic capabilities are already driving meaningful progress for our developers and enterprises alike. In developing the 3.5 model series, we worked closely with industry partners to understand where toil and complexity arose in their workflows. Partners are seeing meaningful impact — from banks and fintechs automating multi-week workflows to data science teams unearthing insights amidst complex data environments.

Shopify is running subagents in parallel to analyze complex data over a long horizon for more accurate merchant growth forecasts at a global scale.

Macquarie Bank is piloting how 3.5 Flash can accelerate customer onboarding by reasoning over complex 100+ page documents, retrieving relevant information and making reliable recommendations with low latency.

Salesforce is integrating 3.5 Flash into Agentforce to reliably automate complicated enterprise tasks by deploying multiple subagents that retain context and execute complex, multi-turn tool calling.

3.5 Flash is helping Ramp enable smarter, more reliable OCR through multimodal understanding of complex invoices combined with reasoning over historical patterns.

Xero is deploying agents to autonomously manage complex, multi-week workflows, such as identifying suppliers and gathering information for 1099 tax forms, enabling small businesses to automate tedious admin tasks.

Databricks is using agentic workflows to monitor and retrieve real-time information, reason across massive datasets to diagnose issues, identify fixes and propose solutions for data scientists.

Personal AI agents: built with 3.5 Flash

3.5 Flash is now the default model for the Gemini app and AI Mode in Search globally. At I/O today, we showed how its agentic capabilities are powering new features to bring frontier-level intelligence to your daily life.

The new Gemini Spark, your personal AI agent, uses 3.5 Flash. It runs 24/7, helping you navigate your digital life, taking action on your behalf while under your direction. We’re starting to roll out Gemini Spark to trusted testers today, and we’re planning on bringing the Beta to Google AI Ultra subscribers in the US next week.

an image of Gemini Spark

Gemini Spark uses 3.5 Flash to help accomplish these tasks

an image of Gemini Spark

Gemini Spark uses 3.5 Flash to help accomplish these tasks

an image of Gemini Spark

Gemini Spark uses 3.5 Flash to help accomplish these tasks

an image of Gemini Spark

Gemini Spark uses 3.5 Flash to help accomplish these tasks

an image of Gemini Spark

Gemini Spark uses 3.5 Flash to help accomplish these tasks

The enhanced agentic coding capabilities of 3.5 Flash are also delivering even more intelligent experiences across Search, from introducing new information agents that work for you 24/7 to unlocking more dynamic generative UI experiences. Learn more in our blog post.

Search leverages 3.5 Flash to build an interactive visual explaining Gyroid patterns.

Gemini 3.5: built with frontier safeguards

Gemini 3.5 was developed in accordance with our Frontier Safety Framework. We have strengthened our cyber and CBRN safeguards, which means it's less likely to generate harmful content, and to mistakenly refuse to answer safe queries. We achieve this with new, more advanced safety training and mitigations, including interpretability tools that help check and understand the AI's inner reasoning before it provides a response.

3.5 Flash is available today

Gemini 3.5 Flash is generally available via Google Antigravity, the Gemini API in Google AI Studio and Android Studio, Gemini Enterprise Agent Platform and Gemini Enterprise. It’s also now available to everyone in the Gemini app and AI Mode in Search. On behalf of the entire Gemini team, we can’t wait to see what you build.

The image shows a colorful abstract design with the Google I/O 2026 logo.

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