Google AI
Google AI for Developers is Google's developer-facing AI platform and program for building applications with Gemini and other Google AI models. It provides model access, AI Studio, open Gemma models, on-device AI Edge tooling, responsible-AI guidance, and developer integrations.
At a Glance
- Individual developers and startups
- Software and AI application builders
- Coding-agent and developer-tool vendors
- Researchers and model experimenters
- +3 more
AI Tools by Google AI
(6)
Gemini API CLI
Gemini API CLI for Agents
Google Agent Development Kit (ADK)
Open Source AI Agent Framework
Gemini CLI
Gemini AI Agent for Terminal
Firebase Studio
Cloud IDE with AI App Prototyping
Gemini Canvas
AI Workspace for Docs and Code
Gemini Code Assist
Google AI Coding Assistant IDE
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Latest News
Salesforce and Google expanded their strategic partnership, bringing Gemini to Agentforce 360 and enabling cross-platform agent interoperability.
Google Cloud introduced Gemini Enterprise and announced enterprise customer and partner momentum.
Oracle and Google Cloud expanded their partnership to offer Gemini models to Oracle customers.
Google announced Gemini 2.5 model improvements, native audio output and Live API updates.
Products & Services
Developer API for Gemini and related generative models; supports text and image generation, multimodal analysis, conversational agents, interactions, tools, and Live API capabilities.
Browser-based environment to experiment with models, develop prompts and applications, use the Gemini API, and prototype apps.
Google's multimodal foundation-model family, available across the Gemini app, Gemini API, AI Studio, Vertex AI and developer tools.
Open models derived from the same research and technology lineage as Gemini, intended for customization and controlled deployment with a developer's own data.
Market Position
Google AI competes with OpenAI, Anthropic, Microsoft/Azure AI, Meta's open-model ecosystem, Amazon Bedrock and other cloud/model platforms. Its differentiators are a full stack spanning frontier Gemini models, open Gemma models, Google Search/Maps grounding, generative media, on-device AI, AI Studio, Google Cloud distribution and a large developer ecosystem.
Leadership
Founders
Jeff Dean
Google Senior Fellow and founding leader of Google AI division. Long-time Google employee since 1999, instrumental in building many of Google's core systems. Elevated to Chief Scientist at Google in 2023 following the reorganization that merged Google Brain with DeepMind.
Demis Hassabis
Co-founder and CEO of DeepMind (acquired by Google in 2014, later merged with Google Brain in 2023 to form Google DeepMind). Nobel Laureate, leads Google's general AI efforts including development of AlphaGo and Gemini models.
Executive Team
Sundar Pichai
CEO, Google and Alphabet
Google and Alphabet CEO; Google describes him as leading the company whose AI products and infrastructure support the Google AI developer ecosystem.
Koray Kavukcuoglu
SVP, Google DeepMind; Chief AI Architect
A long-time DeepMind leader who started its deep-learning team and led work including WaveNet and DQN; Google announced that he oversees Gemini model development, frontier AI research, and Gemini app and developer teams.
Founding Story
Google announced Google AI at Google I/O 2017 as an umbrella for its artificial-intelligence work. The current ai.google.dev developer experience expresses that work as making AI available to every developer, while Google DeepMind's research lineage combines DeepMind (started in 2010) and Google Brain (started in 2011) to build capable AI responsibly for broad human benefit.
Business Model
Revenue Model
Developer access is monetized through Gemini API usage, with free usage quotas and paid token/tool pricing; enterprise access is also distributed through Google Cloud and products such as Gemini Enterprise and Vertex AI.
Pricing Tiers
Free input and output tokens for eligible models within usage limits; Google says free-tier data may be used to improve products.
Per-1-million-token input/output pricing and separate tool/media rates; paid tier provides higher limits and Google says data is not used to improve products under the paid terms.
Google documents Tier 2 after $100 of paid usage plus three days, and Tier 3 after $1,000 plus 30 days, with higher billing caps.
Target Markets
- Individual developers and startups
- Software and AI application builders
- Coding-agent and developer-tool vendors
- Researchers and model experimenters
- Enterprises and Google Cloud customers
- Mobile, web and embedded-device developers
- Building production applications and conversational agents
- Rapid prototyping and prompt/model evaluation
- Code generation, code chat and developer productivity
- Multimodal document, image, audio and video analysis
- Image, video, music and speech generation
- Research, enterprise automation and long-running delegated tasks
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