Gemini 3.8 Flash TTS Integrations

Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.

Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows.

Gemini 3.5 Pro is Google’s anticipated next-generation Pro model in the Gemini 3.5 series, designed for advanced reasoning, coding, multimodal understanding, and agentic workflows. It is expected to build on Google’s Gemini 3 family with stronger performance for complex tasks that require planning, context handling, tool use, and deep problem solving. The model is aimed at users who need more power than faster Flash models for demanding development, research, automation, and enterprise AI use cases. Gemini 3.5 Pro is expected to support sophisticated workflows across text, code, files, multimodal inputs, and connected tools. Developers and organizations will likely use it through Google’s AI platforms for building assistants, agents, coding tools, analysis systems, and productivity applications. As an upcoming Pro-tier model, Gemini 3.5 Pro is positioned for high-value workloads where accuracy, reasoning quality, and advanced task execution matter more than maximum speed.

Gemini Notebook (formerly known as NotebookLM) is an AI-powered research and learning tool that helps users understand information using their own uploaded sources. The platform lets users add notes, documents, reports, and other materials, then ask questions and receive responses grounded in the provided content. Gemini Notebook can turn source material into formats such as Audio Overviews, Mind Maps, Reports, Flashcards, Quizzes, Video Overviews, Data Tables, Infographics, and Slide Decks. Users can also explore public notebooks on topics such as aging research, life advice, Shakespeare, and corporate earnings reports. The product emphasizes privacy, stating that organizational and school data stays private and is not used to train Gemini Notebook. Built for learning, research, productivity, and content understanding, Gemini Notebook helps users move from raw sources to summaries, insights, study materials, and structured outputs faster.

Gemini is Google’s advanced AI assistant designed to help users think, create, learn, and complete tasks with a new level of intelligence. Powered by Google’s most capable models, including Gemini 3, it enables users to ask complex questions, generate content, analyze information, and explore ideas through natural conversation. Gemini can create images, videos, summaries, study plans, and first drafts while also providing feedback on uploaded files and written work. The platform is grounded in Google Search, allowing it to deliver accurate, up-to-date information and support deep follow-up questions. Gemini connects seamlessly with Google apps like Gmail, Docs, Calendar, Maps, YouTube, and Photos to help users complete tasks without switching tools. Features such as Gemini Live, Deep Research, and Gems enhance brainstorming, research, and personalized workflows. Available through flexible free and paid plans, Gemini supports everyday users, students, and professionals across devices.

Gemini Enterprise app is an advanced AI-powered platform that brings Google’s AI capabilities to every employee, enabling organizations to automate workflows, analyze data, and create high-quality content across multiple business functions. It securely connects to tools like Microsoft 365, Google Workspace, HubSpot, and Jira, allowing users to search and interact with their business data using natural language. The platform supports prebuilt agents such as NotebookLM and Deep Research, helping teams quickly extract insights and streamline tasks. It also allows users to build custom no-code agents to automate multi-step workflows across different applications. With centralized management, organizations can deploy and monitor all agents from a single interface. Built-in security and governance features ensure data privacy and compliance with enterprise standards. Overall, Gemini Enterprise app enhances productivity by combining AI automation with secure data integration.

​The Gemini Live API is a preview feature that enables low-latency, bidirectional voice and video interactions with Gemini. It allows end users to experience natural, human-like voice conversations and provides the ability to interrupt the model's responses using voice commands. The model can process text, audio, and video input, and it can provide text and audio output. New capabilities include two new voices and 30 new languages with configurable output language, configurable image resolutions (66/256 tokens), configurable turn coverage (send all inputs all the time or only when the user is speaking), configurable interruption settings, configurable voice activity detection, new client events for end-of-turn signaling, token counts, a client event for signaling the end of stream, text streaming, configurable session resumption with session data stored on the server for 24 hours, and longer session support with a sliding context window.

Gemini 3.1 Pro is Google’s upgraded core intelligence model designed for complex tasks that require advanced reasoning. Building on the Gemini 3 series, it delivers significant improvements in problem-solving performance and logical pattern recognition. On the ARC-AGI-2 benchmark, Gemini 3.1 Pro achieved a verified score of 77.1%, more than doubling the reasoning performance of Gemini 3 Pro. The model is engineered for challenges where simple answers are insufficient, enabling deeper analysis, synthesis, and creative output. It can generate practical outputs such as animated, website-ready SVGs directly from text prompts, combining intelligence with real-world usability. Gemini 3.1 Pro is rolling out in preview across consumer, developer, and enterprise platforms including the Gemini app, NotebookLM, Gemini API, Gemini Enterprise Agent Platform, and Android Studio. With expanded access for Google AI Pro and Ultra users, 3.1 Pro sets a stronger baseline for agentic workflows.

Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building.

SynthID is a watermarking tool developed by Google DeepMind to help identify content generated or modified by AI. It embeds invisible digital watermarks directly into AI-generated images, videos, audio, and text. These watermarks do not affect the quality or appearance of the content, making them undetectable to the human eye. SynthID is designed to remain intact even when content is edited, such as through cropping or compression. The tool works across Google’s generative AI products to ensure consistent watermarking at the time of content creation. Users can verify content authenticity by using tools like Gemini or the SynthID Detector portal. This helps improve transparency and trust in AI-generated media. Overall, SynthID plays a key role in distinguishing AI-generated content from human-created content.

Google Vids is an AI-powered video creation platform designed to help businesses and teams create professional videos quickly and collaboratively. The platform uses Gemini AI to generate editable video outlines, suggested scenes, scripts, stock media, and other creative assets from simple prompts or existing files. Google Vids includes recording tools that allow users to capture their screen, webcam, audio, and presentations while using a built-in teleprompter for smoother delivery. The platform also features Veo-powered AI video generation, enabling users to create realistic video clips, animate images, and generate AI avatars for presentations and training content. Teams can collaborate on videos with sharing controls and browser-based playback similar to Google Docs, Sheets, and Slides, making teamwork more efficient.