62 Integrations with Google AI Studio
View a list of Google AI Studio integrations and software that integrates with Google AI Studio below. Compare the best Google AI Studio integrations as well as features, ratings, user reviews, and pricing of software that integrates with Google AI Studio. Here are the current Google AI Studio integrations in 2026:
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1
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.Starting Price: Free ($300 in free credits) -
2
Axis LMS
Atrixware
Axis LMS is a powerful, flexible learning management system built for businesses that take training seriously. Whether you’re onboarding employees, managing certifications, or delivering compliance training, Axis LMS makes it easy with automation, customization, and robust reporting. Designed for real-world use, it supports video, SCORM, quizzes, surveys and much more - all in a responsive, mobile-friendly interface for users. With powerful admin tools and branding options, Axis LMS helps you create engaging learning experiences that scale with your organization, both online and virtual classrooms. Trusted by organizations of all sizes since 1997, Axis LMS combines enterprise-level power with small-business flexibility. Whether you have 25 users or 10,000+, Axis LMS delivers a reliable, scalable solution that evolves with your training needs.Starting Price: $169/month -
3
Docker
Docker
Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.Starting Price: $7 per month -
4
Gemini
Google
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.Starting Price: Free -
5
Gemini Advanced
Google
Gemini Advanced is a cutting-edge AI model designed for unparalleled performance in natural language understanding, generation, and problem-solving across diverse domains. Featuring a revolutionary neural architecture, it delivers exceptional accuracy, nuanced contextual comprehension, and deep reasoning capabilities. Gemini Advanced is engineered to handle complex, multifaceted tasks, from creating detailed technical content and writing code to conducting in-depth data analysis and providing strategic insights. Its adaptability and scalability make it a powerful solution for both individual users and enterprise-level applications. Gemini Advanced sets a new standard for intelligence, innovation, and reliability in AI-powered solutions. You'll also get access to Gemini in Gmail, Docs, and more, 2 TB storage, and other benefits from Google One. Gemini Advanced also offers access to Gemini with Deep Research. You can conduct in-depth and real-time research on almost any subject.Starting Price: $19.99 per month -
6
Gemini 3 Pro
Google
Gemini 3 Pro is Google’s most advanced multimodal AI model, built for developers who want to bring ideas to life with intelligence, precision, and creativity. It delivers breakthrough performance across reasoning, coding, and multimodal understanding—surpassing Gemini 2.5 Pro in both speed and capability. The model excels in agentic workflows, enabling autonomous coding, debugging, and refactoring across entire projects with long-context awareness. With superior performance in image, video, and spatial reasoning, Gemini 3 Pro powers next-generation applications in development, robotics, XR, and document intelligence. Developers can access it through the Gemini API, Google AI Studio, or Vertex AI, integrating seamlessly into existing tools and IDEs. Whether generating code, analyzing visuals, or building interactive apps from a single prompt, Gemini 3 Pro represents the future of intelligent, multimodal AI development.Starting Price: $19.99/month -
7
Gemini Flash
Google
Gemini Flash is an advanced large language model (LLM) from Google, specifically designed for high-speed, low-latency language processing tasks. Part of Google DeepMind’s Gemini series, Gemini Flash is tailored to provide real-time responses and handle large-scale applications, making it ideal for interactive AI-driven experiences such as customer support, virtual assistants, and live chat solutions. Despite its speed, Gemini Flash doesn’t compromise on quality; it’s built on sophisticated neural architectures that ensure responses remain contextually relevant, coherent, and precise. Google has incorporated rigorous ethical frameworks and responsible AI practices into Gemini Flash, equipping it with guardrails to manage and mitigate biased outputs, ensuring it aligns with Google’s standards for safe and inclusive AI. With Gemini Flash, Google empowers businesses and developers to deploy responsive, intelligent language tools that can meet the demands of fast-paced environments. -
8
Gemini 2.0
Google
Gemini 2.0 is an advanced AI-powered model developed by Google, designed to offer groundbreaking capabilities in natural language understanding, reasoning, and multimodal interactions. Building on the success of its predecessor, Gemini 2.0 integrates large language processing with enhanced problem-solving and decision-making abilities, enabling it to interpret and generate human-like responses with greater accuracy and nuance. Unlike traditional AI models, Gemini 2.0 is trained to handle multiple data types simultaneously, including text, images, and code, making it a versatile tool for research, business, education, and creative industries. Its core improvements include better contextual understanding, reduced bias, and a more efficient architecture that ensures faster, more reliable outputs. Gemini 2.0 is positioned as a major step forward in the evolution of AI, pushing the boundaries of human-computer interaction.Starting Price: Free -
9
Gemini 2.5 Pro
Google
Gemini 2.5 Pro is an advanced AI model designed to handle complex tasks with enhanced reasoning and coding capabilities. Leading common benchmarks, it excels in math, science, and coding, demonstrating strong performance in tasks like web app creation and code transformation. Built on the Gemini 2.5 foundation, it features a 1 million token context window, enabling it to process vast datasets from various sources such as text, images, and code repositories. Available now in Google AI Studio, Gemini 2.5 Pro is optimized for more sophisticated applications and supports advanced users with improved performance for complex problem-solving.Starting Price: $19.99/month -
10
Gemini-Exp-1206
Google
Gemini-Exp-1206 is an experimental AI model now available for preview to Gemini Advanced subscribers. This model significantly enhances performance in complex tasks such as coding, mathematics, reasoning, and following detailed instructions. It's designed to assist users in navigating intricate challenges with greater ease. As an early preview, some features may not function as expected, and it currently lacks access to real-time information. Users can access Gemini-Exp-1206 through the Gemini model drop-down on desktop and mobile web platforms. -
11
Nano Banana Pro
Google
Nano Banana Pro is Google DeepMind’s advanced evolution of the original Nano Banana, designed to deliver studio-quality image generation with far greater accuracy, text rendering, and world knowledge. Built on Gemini 3 Pro, it brings improved reasoning capabilities that help users transform ideas into detailed visuals, diagrams, prototypes, and educational content. It produces highly legible multilingual text inside images, making it ideal for posters, logos, storyboards, and international designs. The model can also ground images in real-time information, pulling from Google Search to create infographics for recipes, weather data, or factual explanations. With powerful consistency controls, Nano Banana Pro can blend up to 14 images and maintain recognizable details across multiple people or elements. Its enhanced creative editing tools let users refine lighting, adjust focus, manipulate camera angles, and produce final outputs in up to 4K resolution. -
12
Gemini Pro
Google
Gemini is natively multimodal, which gives you the potential to transform any type of input into any type of output. We've built Gemini responsibly from the start, incorporating safeguards and working together with partners to make it safer and more inclusive. Integrate Gemini models into your applications with Google AI Studio and Google Cloud Vertex AI. -
13
Veo 2
Google
Veo 2 is a state-of-the-art video generation model. Veo creates videos with realistic motion and high quality output, up to 4K. Explore different styles and find your own with extensive camera controls. Veo 2 is able to faithfully follow simple and complex instructions, and convincingly simulates real-world physics as well as a wide range of visual styles. Significantly improves over other AI video models in terms of detail, realism, and artifact reduction. Veo represents motion to a high degree of accuracy, thanks to its understanding of physics and its ability to follow detailed instructions. Interprets instructions precisely to create a wide range of shot styles, angles, movements – and combinations of all of these. -
14
Gemini 2.0 Flash
Google
The Gemini 2.0 Flash AI model represents the next generation of high-speed, intelligent computing, designed to set new benchmarks in real-time language processing and decision-making. Building on the robust foundation of its predecessor, it incorporates enhanced neural architecture and breakthrough advancements in optimization, enabling even faster and more accurate responses. Gemini 2.0 Flash is designed for applications requiring instantaneous processing and adaptability, such as live virtual assistants, automated trading systems, and real-time analytics. Its lightweight, efficient design ensures seamless deployment across cloud, edge, and hybrid environments, while its improved contextual understanding and multitasking capabilities make it a versatile tool for tackling complex, dynamic workflows with precision and speed. -
15
Gemini Nano
Google
Gemini Nano from Google is a lightweight, energy-efficient AI model designed for high performance in compact, resource-constrained environments. Tailored for edge computing and mobile applications, Gemini Nano combines Google's advanced AI architecture with cutting-edge optimization techniques to deliver seamless performance without compromising speed or accuracy. Despite its compact size, it excels in tasks like voice recognition, natural language processing, real-time translation, and personalized recommendations. With a focus on privacy and efficiency, Gemini Nano processes data locally, minimizing reliance on cloud infrastructure while maintaining robust security. Its adaptability and low power consumption make it an ideal choice for smart devices, IoT ecosystems, and on-the-go AI solutions. -
16
Gemini 1.5 Pro
Google
The Gemini 1.5 Pro AI model is a state-of-the-art language model designed to deliver highly accurate, context-aware, and human-like responses across a variety of applications. Built with cutting-edge neural architecture, it excels in natural language understanding, generation, and reasoning tasks. The model is fine-tuned for versatility, supporting tasks like content creation, code generation, data analysis, and complex problem-solving. Its advanced algorithms ensure nuanced comprehension, enabling it to adapt to different domains and conversational styles seamlessly. With a focus on scalability and efficiency, the Gemini 1.5 Pro is optimized for both small-scale implementations and enterprise-level integrations, making it a powerful tool for enhancing productivity and innovation. -
17
Gemini 1.5 Flash
Google
The Gemini 1.5 Flash AI model is an advanced, high-speed language model engineered for lightning-fast processing and real-time responsiveness. Designed to excel in dynamic and time-sensitive applications, it combines streamlined neural architecture with cutting-edge optimization techniques to deliver exceptional performance without compromising on accuracy. Gemini 1.5 Flash is tailored for scenarios requiring rapid data processing, instant decision-making, and seamless multitasking, making it ideal for chatbots, customer support systems, and interactive applications. Its lightweight yet powerful design ensures it can be deployed efficiently across a range of platforms, from cloud-based environments to edge devices, enabling businesses to scale their operations with unmatched agility. -
18
VPVision
VPInstruments
VPVision is the complete real-time energy monitoring/ condition monitoring solution offering enterprise level functionality. Both on-premise as in the cloud. Thanks to the latest web technology, you can view your data anywhere at any time, add easily channels, customize dashboards, and create your own reports. VPVision is your guiding hand to target efficiency, reliability and operational excellence! Using the latest web-based technology, it enables you to view data anywhere at any time. VPVision analyzes energy a and makes your savings potential transparent. VPVision enables you to see the true costs of all utilities, including compressed air, technical gases, steam, vacuum, natural gas, electricity, wastewater, heating fuels, etc. VPVision is extremely flexible and adaptable, it fits both small/medium enterprises as large corporations looking for multi-site energy management.Starting Price: 110 -
19
Langtail
Langtail
Langtail is a cloud-based application development tool designed to help companies debug, test, deploy, and monitor LLM-powered apps with ease. The platform offers a no-code playground for debugging prompts, fine-tuning model parameters, and running LLM tests to prevent issues when models or prompts change. Langtail specializes in LLM testing, including chatbot testing and ensuring robust AI LLM test prompts. With its comprehensive features, Langtail enables teams to: • Test LLM models thoroughly to catch potential issues before they affect production environments. • Deploy prompts as API endpoints for seamless integration. • Monitor model performance in production to ensure consistent outcomes. • Use advanced AI firewall capabilities to safeguard and control AI interactions. Langtail is the ideal solution for teams looking to ensure the quality, stability, and security of their LLM and AI-powered applications.Starting Price: $99/month/unlimited users -
20
CodeNext
CodeNext
CodeNext.ai is an AI-powered coding assistant designed specifically for Xcode developers, offering context-aware code completion and agentic chat functionalities. It supports a wide range of leading AI models, including OpenAI, Azure OpenAI, Google AI, Mistral, Anthropic, Deepseek, Ollama, and more, providing developers with the flexibility to choose and switch between models as needed. It delivers intelligent, real-time code suggestions as you type, enhancing productivity and coding efficiency. Its agentic chat feature allows developers to interact in natural language to write code, fix bugs, refactor, and perform various coding tasks within or beyond the codebase. CodeNext.ai includes custom chat plugins that enable the execution of terminal commands and shortcuts directly within the chat interface, streamlining the development workflow.Starting Price: $15 per month -
21
Gemini CLI
Google
Gemini CLI is a free, open-source AI agent that integrates Gemini’s powerful AI capabilities directly into developers’ command line terminals. It offers fast, lightweight access to Gemini 3 Pro, enabling developers to generate code, solve problems, and manage tasks using natural language prompts. The CLI supports up to 60 model requests per minute and 1,000 requests per day at no cost, with additional paid options for professionals requiring higher usage. Gemini CLI includes advanced features like Google Search grounding for real-time web context, prompt customization, and automation within scripts. It is fully extensible and open source, welcoming community contributions via GitHub. Designed to enhance workflow efficiency, Gemini CLI brings AI-powered coding assistance to the terminal environment.Starting Price: Free -
22
LLM Gateway
LLM Gateway
LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Google Vertex AI, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.) continues to work without modification.Starting Price: $50 per month -
23
Klyra
CSK Business Solutions LLP
Klyra AI is an all‑in‑one AI creation suite that combines over 30 powerful tools to generate stunning videos, viral social content, photorealistic product images, dynamic avatars, lifelike voiceovers, music tracks, and long‑form text such as blogs and scripts, all from a single, minimalist interface. Users can script and storyboard video narratives, apply effects and transitions, enhance or retouch images, compose original music, and deploy realistic text‑to‑speech voices in multiple languages. A library of prebuilt templates and AI‑driven workflows streamlines ideation, production, and collaboration, while browser‑based access and API integrations ensure seamless embedding into existing marketing, educational, or design pipelines without vendor lock‑in. Real‑time content adaptation, project analytics dashboards, and collaborative workspaces further accelerate creative cycles and amplify audience engagement by automating repetitive tasks.Starting Price: $10 per month -
24
Gemini 2.5 Computer Use
Google
Introducing the Gemini 2.5 Computer Use model, a specialized agent model built on top of Gemini 2.5 Pro’s visual reasoning capabilities, designed to interact directly with user interfaces (UIs). It is exposed via a new computer-use tool in the Gemini API, with inputs that include the user’s request, a screenshot of the UI environment, and a history of recent actions. The model generates function calls corresponding to UI actions like clicking, typing, or selecting, and may request user confirmation for higher-risk tasks. After each action is executed, a new screenshot and URL are fed back into the model to continue the loop until the task completes or is halted. It is optimized primarily for web browser control and shows promise for mobile UI interaction, though it is not yet suited for desktop OS-level control. In benchmarks across web and mobile control tasks, Gemini 2.5 Computer Use outperforms leading alternatives, delivering high accuracy at lower latency.Starting Price: Free -
25
Gemini Enterprise
Google
Gemini Enterprise is a comprehensive AI platform built by Google Cloud designed to bring the full power of Google’s advanced AI models, agent-creation tools, and enterprise-grade data access into everyday workflows. The solution offers a unified chat interface that lets employees interact with internal documents, applications, data sources, and custom AI agents. At its core, Gemini Enterprise comprises six key components: the Gemini family of large multimodal models, an agent orchestration workbench (formerly Google Agentspace), pre-built starter agents, robust data-integration connectors to business systems, extensive security and governance controls, and a partner ecosystem for tailored integrations. It is engineered to scale across departments and enterprises, enabling users to build no-code or low-code agents that automate tasks, such as research synthesis, customer support response, code assist, contract analysis, and more, while operating within corporate compliance standards.Starting Price: $21 per month -
26
RadiantOne
Radiant Logic
Make identity a business enabler with a unified platform that transforms your existing infrastructure into a resource for the entire organization. RadiantOne is the cornerstone of complex identity infrastructures. Harness your identity data with intelligent integration to drive better business outcomes, improve security and compliance posture, increase speed-to-market, and more. Without RadiantOne, companies must rely on custom coding, rework, and ongoing maintenance to make new initiatives work with existing environments. Expensive solutions can’t be deployed on time or on budget, negatively impacting ROI and causing employee frustration. Identity frameworks that can’t scale waste time and resources, with employees struggling to deploy new solutions for users. Rigid, static systems can’t meet changing requirements, leading to duplicate efforts and repeated processes. -
27
Gemma 3
Google
Gemma 3, introduced by Google, is a new AI model built on the Gemini 2.0 architecture, designed to offer enhanced performance and versatility. This model is capable of running efficiently on a single GPU or TPU, making it accessible for a wide range of developers and researchers. Gemma 3 focuses on improving natural language understanding, generation, and other AI-driven tasks. By offering scalable, powerful AI capabilities, Gemma 3 aims to advance the development of AI systems across various industries and use cases.Starting Price: Free -
28
LearnLM
Google
LearnLM is an experimental, task-specific model designed to align with learning science principles for teaching and learning applications. It is trained to respond to system instructions like "You are an expert tutor," and is capable of inspiring active learning by encouraging practice and providing timely feedback. The model effectively manages cognitive load by presenting relevant, well-structured information across multiple modalities, while dynamically adapting to the learner’s goals and needs, grounding responses in appropriate materials. LearnLM also stimulates curiosity, motivating learners throughout their educational journey, and supports metacognition by helping learners plan, monitor, and reflect on their progress. This innovative model is available for experimentation in AI Studio.Starting Price: Free -
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Gemini 2.5 Pro Preview (I/O Edition) by Google is an advanced AI model designed to streamline coding tasks and enhance web app development. This powerful tool allows developers to efficiently transform and edit code, reducing errors and improving function calling accuracy. With enhanced capabilities in video understanding and web app creation, Gemini 2.5 Pro Preview excels at building aesthetically pleasing and functional web applications. Available through Google’s Gemini API and AI platforms, this model provides a seamless solution for developers to create innovative applications with improved performance and reliability.Starting Price: $19.99/month
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Orq.ai
Orq.ai
Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security. -
31
ProAI
ProAI
ProAI is an AI-powered business planning platform designed to help entrepreneurs and startups create comprehensive, investor-ready business plans in minutes. By answering a few questions, users receive a fully customized business plan, complete with financial forecasts, market research, and strategic insights. It offers tailored projections with exportable Excel models, encompassing profit and loss statements, cash flow analyses, balance sheets, and key metrics. ProAI's AI-driven approach leverages data from over 3,600 client projects, providing users with bespoke marketing, sales, and product plans. Additionally, it includes features such as an AI Business Advisor for personalized recommendations, access to a database of over 160,000 investors, and tools for creating pitch decks and conducting market research. ProAI's user-friendly interface and integration with various data sources streamline the business planning process.Starting Price: $66 per year -
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Gemma 3n
Google DeepMind
Gemma 3n is our state-of-the-art open multimodal model, engineered for on-device performance and efficiency. Made for responsive, low-footprint local inference, Gemma 3n empowers a new wave of intelligent, on-the-go applications. It analyzes and responds to combined images and text, with video and audio coming soon. Build intelligent, interactive features that put user privacy first and work reliably offline. Mobile-first architecture, with a significantly reduced memory footprint. Co-designed by Google's mobile hardware teams and industry leaders. 4B active memory footprint with the ability to create submodels for quality-latency tradeoffs. Gemma 3n is our first open model built on this groundbreaking, shared architecture, allowing developers to begin experimenting with this technology today in an early preview. -
33
Gemini Embedding
Google
Gemini Embedding’s first text model (gemini-embedding-001) is now generally available via the Gemini API and Vertex AI, having held a top spot on the Massive Text Embedding Benchmark Multilingual leaderboard since its experimental launch in March, thanks to superior performance across retrieval, classification, and other embedding tasks compared to both legacy Google and external proprietary models. Exceptionally versatile, it supports over 100 languages with a 2,048‑token input limit and employs the Matryoshka Representation Learning (MRL) technique to let developers choose output dimensions of 3072, 153,6, or 768 for optimal quality, performance, and storage efficiency. Developers can access it through the existing embed_content endpoint in the Gemini API, and while legacy experimental versions will be deprecated later in 2025, migration requires no re‑embedding of existing content.Starting Price: $0.15 per 1M input tokens -
34
Airia
Airia
Airia’s enterprise AI orchestration platform seamlessly integrates with existing systems and data sources, offering a no-code agent builder for rapid prototyping, pre-built connectors for unified data integration, intelligent AI operations that optimize performance and costs through smart routing and centralized lifecycle management, and enterprise-grade security and governance with detailed audit capabilities and responsible AI guardrails. Model-agnostic and vendor-neutral, it supports flexible deployment across shared or dedicated cloud, private cloud, and on-premises environments, enabling both technical and business users to build, deploy, and manage secure AI agents at scale without complex installation or migration. Its intuitive interface and unified platform transform workflows across functions, from engineering and IT to finance, legal, marketing, sales, and support, so organizations can accelerate AI initiatives with confidence and compliance.Starting Price: $49 per month -
35
Gemini 2.5 Flash Image
Google
Gemini 2.5 Flash Image is Google’s latest state-of-the-art image generation and editing model, now accessible via the Gemini API, Google AI Studio’s build mode, and Vertex AI. It enables powerful creative control by allowing users to blend multiple input images into a single visual, maintain consistent characters or products across edits for rich storytelling, and apply precise, natural-language-based–based transformations, such as removing objects, changing poses, adjusting colors, or altering backgrounds. The model is backed by Gemini’s deep world knowledge, enabling it to understand and reinterpret scenes or diagrams in context, which unlocks dynamic use cases like educational tutors or scene-aware editing assistants. Demonstrated through customizable template apps in AI Studio (including photo editors, multi-image fusers, and interactive tools), the model supports rapid prototyping and remixing via prompts or UI. -
36
Gemini 3 Pro Image
Google
Gemini Image Pro is a high-capability, multimodal image-generation and editing system that enables users to create, transform, and refine visuals through natural-language prompts or by combining multiple input images, with support for consistent character and object appearance across edits, precise local transformations (such as background blur, object removal, style transfers or pose changes), and native world-knowledge understanding to ensure context-aware outcomes. It supports multi-image fusion, merging several photo inputs into a cohesive new image, and emphasizes design workflow features such as template-based outputs, brand-asset consistency, and repeated character/person-style appearances across scenes. It includes digital watermarking to tag AI-generated imagery and is available through the Gemini API, Google AI Studio, and Vertex AI platforms. -
37
Gemini 3 Flash
Google
Gemini 3 Flash is Google’s latest AI model built to deliver frontier intelligence with exceptional speed and efficiency. It combines Pro-level reasoning with Flash-level latency, making advanced AI more accessible and affordable. The model excels in complex reasoning, multimodal understanding, and agentic workflows while using fewer tokens for everyday tasks. Gemini 3 Flash is designed to scale across consumer apps, developer tools, and enterprise platforms. It supports rapid coding, data analysis, video understanding, and interactive application development. By balancing performance, cost, and speed, Gemini 3 Flash redefines what fast AI can achieve. -
38
Gemma
Google
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs. -
39
Gemma 2
Google
A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content. -
40
Gemini 2.0 Flash Thinking
Google
Gemini 2.0 Flash Thinking is an advanced AI model developed by Google DeepMind, designed to enhance reasoning capabilities by explicitly displaying its thought processes. This transparency allows the model to tackle complex problems more effectively and provides users with clear explanations of its decision-making steps. By showcasing its internal reasoning, Gemini 2.0 Flash Thinking not only improves performance but also offers greater explainability, making it a valuable tool for applications requiring deep understanding and trust in AI-driven solutions. -
41
Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash-Lite is Google DeepMind's lighter AI model, designed to offer a cost-effective solution without compromising performance. As the most economical model in the Gemini 2.0 lineup, Flash-Lite is tailored for developers and businesses seeking efficient AI capabilities at a lower cost. It supports multimodal inputs and features a context window of one million tokens, making it suitable for a variety of applications. Flash-Lite is currently available in public preview, allowing users to explore its potential in enhancing their AI-driven projects. -
42
Gemini 2.0 Pro
Google
Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges. -
43
Gemini 2.5 Flash
Google
Gemini 2.5 Flash is a powerful, low-latency AI model introduced by Google on Vertex AI, designed for high-volume applications where speed and cost-efficiency are key. It delivers optimized performance for use cases like customer service, virtual assistants, and real-time data processing. With its dynamic reasoning capabilities, Gemini 2.5 Flash automatically adjusts processing time based on query complexity, offering granular control over the balance between speed, accuracy, and cost. It is ideal for businesses needing scalable AI solutions that maintain quality and efficiency. -
44
Gemini Live API
Google
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. -
45
Gemini 2.5 Pro Deep Think
Google
Gemini 2.5 Pro Deep Think is a cutting-edge AI model designed to enhance the reasoning capabilities of machine learning models, offering improved performance and accuracy. This advanced version of the Gemini 2.5 series incorporates a feature called "Deep Think," allowing the model to reason through its thoughts before responding. It excels in coding, handling complex prompts, and multimodal tasks, offering smarter, more efficient execution. Whether for coding tasks, visual reasoning, or handling long-context input, Gemini 2.5 Pro Deep Think provides unparalleled performance. It also introduces features like native audio for more expressive conversations and optimizations that make it faster and more accurate than previous versions. -
46
Veo 3
Google
Veo 3 is Google’s latest state-of-the-art video generation model, designed to bring greater realism and creative control to filmmakers and storytellers. With the ability to generate videos in 4K resolution and enhanced with real-world physics and audio, Veo 3 allows creators to craft high-quality video content with unmatched precision. The model’s improved prompt adherence ensures more accurate and consistent responses to user instructions, making the video creation process more intuitive. It also introduces new features that give creators more control over characters, scenes, and transitions, enabling seamless integration of different elements to create dynamic, engaging videos. -
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Lyria 2
Google
Lyria 2 is an advanced AI music generation model developed by Google, designed to help musicians compose high-fidelity music across a wide variety of genres and styles. The model generates professional-grade 48kHz stereo audio, capturing intricate details and nuances in different instruments and playing styles. With granular creative control, musicians can use text prompts to shape compositions, adjusting elements like key, BPM, and other characteristics to match their artistic vision. Lyria 2 accelerates the creative process by providing new starting points, suggesting harmonies, and drafting longer arrangements, helping musicians overcome writer's block and explore new creative possibilities. -
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WeatherNext
Google DeepMind
WeatherNext is a family of AI models from Google DeepMind and Google Research that produces state-of-the-art weather forecasts. These models are faster and more efficient than traditional physics-based weather models and yield superior forecast reliability. The gains in forecast performance could enable better preparation to help save lives in the face of extreme weather events and enhance the reliability of sustainable energy and supply chains. WeatherNext Graph offers more accurate and efficient deterministic forecasts compared to the best deterministic systems in use today, providing a single weather forecast per time and location with a temporal resolution of 6 hours and a lead time of 10 days. WeatherNext Gen accurately generates an ensemble forecast, better than the current ensemble models most widely used today, helping decision-makers better understand weather uncertainties and risks of extreme conditions. -
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Gemini 2.5 Flash-Lite
Google
Gemini 2.5 is Google DeepMind’s latest generation AI model family, designed to deliver advanced reasoning and native multimodality with a long context window. It improves performance and accuracy by reasoning through its thoughts before responding. The model offers different versions tailored for complex coding tasks, fast everyday performance, and cost-efficient high-volume workloads. Gemini 2.5 supports multiple data types including text, images, video, audio, and PDFs, enabling versatile AI applications. It features adaptive thinking budgets and fine-grained control for developers to balance cost and output quality. Available via Google AI Studio and Gemini API, Gemini 2.5 powers next-generation AI experiences. -
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Gemini Robotics
Google DeepMind
Gemini Robotics brings Gemini’s capacity for multimodal reasoning and world understanding into the physical world, allowing robots of any shape and size to perform a wide range of real-world tasks. Built on Gemini 2.0, it augments advanced vision-language-action models with the ability to reason about physical spaces, generalize to novel situations, including unseen objects, diverse instructions, and new environments, and understand and respond to everyday conversational commands while adapting to sudden changes in instructions or surroundings without further input. Its dexterity module enables complex tasks requiring fine motor skills and precise manipulation, such as folding origami, packing lunch boxes, or preparing salads, and it supports multiple embodiments, from bi-arm platforms like ALOHA 2 to humanoid robots such as Apptronik’s Apollo. It is optimized for local execution and has an SDK for seamless adaptation to new tasks and environments.