Google Unveils Gemini 3.8 Flash and Flash Cyber With Focus on Reasoning and Coding
The announcement was highlighted by Cointelegraph in a post on X, citing Google's latest model release. Google described Gemini 3.8 Flash as its most intelligent Flash model yet for coding and agentic workflows, while the Cyber variant is tailored specifically for cybersecurity applications.
Gemini 3.8 Flash Targets Complex Coding Tasks
Gemini 3.8 Flash builds on Gemini 3.7 Flash and is designed to handle longer-running software engineering tasks, autonomous agents and complex enterprise workflows. Google said the model can perform additional reasoning steps and iteratively use tools when working on difficult problems.
The model supports text, images, video, audio and PDF inputs, with a context window of up to 1 million tokens and a maximum output of 65,536 tokens. It also offers adjustable reasoning levels, allowing developers to choose between lower latency and greater reasoning effort.
Google said Gemini 3.8 Flash delivers improvements across software engineering and specialized reasoning tasks. On the DeepSWE v1.1 benchmark, the company said the model outperformed most larger frontier models in autonomous, end-to-end software engineering tasks.
The model is available through Google's Gemini app, Google AI Studio, Gemini API and other enterprise and developer platforms.
Gemini 3.8 Flash Cyber Focuses on Defensive Security
Alongside the general-purpose model, Google launched Gemini 3.8 Flash Cyber for cybersecurity applications.
The Cyber model is available to trusted defenders through Google's Fairwind Program. Google said it is designed to identify vulnerabilities and assist with automated security patching, with development focused on defensive rather than offensive capabilities.
Google reported that Gemini 3.8 Flash Cyber achieved a success rate exceeding 70% on an internal vulnerability-discovery benchmark covering codebases written in 20 programming languages. On the external CWE-Bench patching benchmark, Google reported a pass@1 score of 47.2%, compared with 47.8% for a leading frontier model, while requiring significantly lower cost.
Google also said its own teams are already using the Cyber model to identify and patch vulnerabilities in company software, including Chrome.
Pricing and Availability
Gemini 3.8 Flash launched at the same introductory API pricing as Gemini 3.7 Flash: $0.75 per million input tokens and $3.75 per million output tokens. Google said the model can consume more tokens on complex tasks because it performs additional reasoning and verification.
The introductory pricing is scheduled to remain in place through the end of 2026, after which Google's standard pricing is set at $1.50 per million input tokens and $7.50 per million output tokens.
Google's September 2 announcement makes Gemini 3.8 the company's third Flash release in six weeks, underscoring the rapid development cycle surrounding its lower-latency AI models
writer: Ethan Collins
Crypto Journalist
Ethan Collins reports on developments across the cryptocurrency and blockchain sector. His work covers market movements, protocol updates, regulatory changes, and emerging trends in digital assets.
He focuses on presenting complex topics in a clear and accessible manner for a broad readership.
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