Google unveiled Gemini 3.5 Flash, its latest artificial intelligence model, at the I/O 2026 developers conference. The company has positioned this model as the first release in the new Gemini 3.5 family. According to Google, the AI model is designed to deliver improved performance for coding, agentic AI tasks, and multimodal understanding while maintaining the faster response speeds associated with the Flash series.
Global Availability and Integration
According to Google, Gemini 3.5 Flash is now available globally through the Gemini app, AI Mode in Search, Google AI Studio, Android Studio, and enterprise platforms. The model also powers new AI experiences across Google products, including the upcoming Gemini Spark personal AI agent.
Performance Benchmarks
The company stated that Gemini 3.5 Flash performs better than Gemini 3.1 Pro across several coding and agentic benchmarks, including Terminal-Bench 2.1, GDPval-AA, and MCP Atlas. Google added that the model is capable of handling long-horizon workflows, enabling it to execute multi-step tasks such as application development, code maintenance, and document preparation.
Multimodal Capabilities
Google also highlighted improvements in multimodal capabilities, stating that Gemini 3.5 Flash can generate interactive web interfaces, graphics, and animations while supporting more complex reasoning tasks. The model is designed to work with Google's updated Antigravity platform, allowing multiple AI subagents to collaborate on larger workflows.
How Gemini 3.5 Flash Will Power AI Agents and Search Experiences
The company announced that Gemini 3.5 Flash will become the default model for the Gemini app and AI Mode in Search globally. It will also power Gemini Spark, a new personal AI agent designed to assist users continuously and complete tasks under user supervision. Google said Gemini Spark is being rolled out initially to trusted testers, with a beta planned for Google AI Ultra subscribers in the United States next week.
Enterprise and Developer Use
Google said enterprises and developers are already using Gemini 3.5 Flash to automate workflows, analyze complex datasets, and improve forecasting systems. The company cited examples, including financial services and commerce platforms, using multiple AI agents to process tasks over extended periods.
Safety and Future Developments
Alongside capability upgrades, Google said Gemini 3.5 was developed under its Frontier Safety Framework, with stronger safeguards against cyber risks and the generation of harmful content. The company added that new safety training and interpretability tools have been introduced to better evaluate the model's reasoning before responses are generated.
Google confirmed that Gemini 3.5 Pro is also under development and currently being used internally, with a wider rollout expected next month.
