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Models & APIs

Google launches Gemini 3.8 Flash models for agents and code security

Google has introduced Gemini 3.8 Flash for long-horizon coding and autonomous agents, alongside Gemini 3.8 Flash Cyber for vulnerability detection and automated remediation.

94% VERIFIED

Google DeepMind has announced Gemini 3.8 Flash and Gemini 3.8 Flash Cyber. The standard Flash model builds on Gemini 3.7 Flash and is designed for long-horizon software engineering, autonomous agents, multi-step reasoning, and complex enterprise workflows while retaining the speed and cost profile associated with the Flash line.

Flash Cyber is tailored to cybersecurity work, with an emphasis on finding software vulnerabilities and supporting automated patching. Google says both variants share a common intelligence foundation and benefit from training in demanding areas such as cybersecurity. Reported benchmark gains reflect company claims and media coverage, so they should be interpreted as indicative rather than independently verified conclusions.

Source evidence

Gemini 3.8 Flash | Gemini API - Google AI for Developersai.google.dev · supporting

Gemini API Gemini API # Gemini 3.8 Flash Gemini 3.8 Flash is our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows—all with the speed and cost efficiency of Flash. ## Documentation Visit the Latest model page for full coverage of features and capabilities. ## gemini-3.8-flash

Introducing Gemini 3.8 Flash and 3.8 Flash Cyberblog.google · supporting

Building on the momentum of 3.7 Flash from three weeks ago and marking our third Flash release in only six weeks, today we’re introducing Gemini 3.8, our best reasoning & coding model yet, at the same speed and low cost of 3.7. Gemini 3.8 introduces 2 variants: While tailored for different deployment environments, both of today's releases are powered by the same foundational intelligence, and further accelerated by long-running agentic loops designed to recursively evaluate and refine the underlying models. The significant coding and reasoning gains across this shared core were driven by a number of innovations, including rigorous training in the highly demanding domain of cybersecurity. ## Gemini 3.8 Flash: built for long-horizon coding and autonomous agents [...] Gemini 3.8 Flash delivers substantial gains from 3.7 Flash, often approaching the performance of higher-cost frontier models. comparison chart showing Gemini 3.8 Flash and other models On DeepSWE v1.1 (Long-Horizon Softw

Gemini 3.8 Flash - Model Carddeepmind.google · supporting

## Model Information ### Description Gemini 3.8 Flash is the next iteration in the Gemini 3 model family, building on Gemini 3.7 Flash, delivering performance advancements across software engineering and agentic knowledge workflows. It continues to support customizable effort levels to control the mix of quality, cost and latency. ### Model dependencies Gemini 3.8 Flash is based on Gemini 3.7 Flash. ### Inputs Text strings (e.g., a question, a prompt, document(s) to be summarized), images, audio, and video files, with a token context window of up to 1M. ### Outputs Text, with a 64K token output. ### Architecture Gemini 3.8 Flash is based on Gemini 3.7 Flash. For more information about the model architecture for Gemini 3.8 Flash, see the Gemini 3.7 Flash model card. [...] ### Benefit and Intended Usage Gemini 3.8 Flash is well-suited for users, developers, and enterprises, designed for cost-effective scaling of general-purpose, production-ready agents. Some use cases include:

Google’s Gemini 3.8 Flash is built for agents, while its Cyber twin hunts vulnerabilitiesventurebeat.com · supporting

The Independent Voice on AI Featured # Google’s Gemini 3.8 Flash is built for agents, while its Cyber twin hunts vulnerabilities Taryn Plumb Flash CleoPtolemy made with Midjourney Google keeps cranking out Flash models: the company on Wednesday announced two versions of a new 3.8 Flash. The variants include a standard Flash, a “workhorse” model for agentic tasks, software development, and multi-step reasoning, and Flash Cyber optimized for vulnerability detection and mitigation. Google CEO Sundar Pichai said in an X post that 3.8 Flash delivers “significant leaps” from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. For instance, it outperformed many large frontier models on the DeepSWE coding benchmark, at far lower cost. [...] According to Arena.ai, 3.8 Flash landed at No. 14 in Agent Arena, ranking above DeepSeek-V4-Pro, and showed a significant jump over Gemini 3.7 Flash (which sits all the way down at No. 32). It debuted at No. 7 in Text A

Two new Gemini models are here to help scale your AI ...linkedin.com · supporting

What excites me most about Gemini 3.8 Flash isn't just the benchmark improvements, it's the combination of reasoning, coding, speed, and cost.

Two new Gemini models are here to help scale your AI ...x.com · supporting

Log inSign up ## Post # Google DeepMind 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 model with frontier-level vulnerability detection and automated patching." @GoogleDeepMind Google DeepMind @GoogleDeepMind [...] @GoogleDeepMind Google DeepMind @GoogleDeepMind 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 model with frontier-level vulnerability detection and automated patching. GIF 3:42 PM · Sep 2, 2026431.9KViews 189 @GoogleDeepMind Google DeepMind @GoogleDeepMind [...] @GoogleDeepMind Google