Google has introduced Gemini 3.5 Flash, the first release in its newest family of models combining frontier intelligence with real-world action. The model is designed for agents and coding tasks, delivering fast and consistent performance comparable to other leading models at a lower cost.

Gemini 3.5 Flash can plan and reason across massive codebases and deploy subagents to work in parallel over extended periods. The model outperforms Google’s 3.1 Pro on coding and agentic benchmarks including Terminal-Bench 2.1, GDPval-AA, and MCP Atlas.

Availability and Access

Google is rolling out Gemini 3.5 Flash to all users in the Gemini App and AI Mode in Google Search. Developers can begin building with Gemini 3.5 Flash through Antigravity and via the Gemini API in Google AI Studio. This multi-platform approach ensures that both end users and developers have immediate access to the new capabilities.

Performance and Benchmarks

Gemini 3.5 Flash delivers performance metrics that match other leading artificial intelligence systems while maintaining lower operational costs. Its ability to handle complex reasoning tasks across large code repositories positions it for use in enterprise software development environments and automated agent-based workflows. The model’s performance on specialized coding benchmarks demonstrates its suitability for technical teams seeking efficient solutions.

Developer Focus

Gemini 3.5 Flash targets developers working on code-intensive projects and those building agentic systems. The model’s parallel processing capabilities allow multiple subagents to operate simultaneously, reducing execution time for complex tasks that require sustained reasoning across extended horizons. This architecture supports scalable automation in modern development pipelines.

Market Positioning

The release represents Google’s strategy to compete in the large language model market by offering high-performance artificial intelligence models at competitive pricing. The focus on coding and agentic tasks reflects growing demand from enterprises building automation and software development infrastructure that relies on advanced language models for productivity and operational efficiency. Gemini 3.5 Flash provides organizations with a cost-effective option for deploying AI-powered development tools at scale.

Source: X (@GoogleDeepMind)