Google Gemini: multimodal AI built into the Google ecosystem
Discover Google Gemini, Google's multimodal AI model family
Google Gemini is Google's family of artificial intelligence models, natively capable of processing text, images, audio, video and code.
Analysing a training video, extracting data from a batch of scanned invoices, summarising an email thread, generating code: Gemini handles all these formats within a single conversation. And for organisations already on Google Workspace or Google Cloud, AI lands directly inside the tools they use every day.
Google Gemini is built around four pillars:
From the consumer assistant to the cloud platform, each level has its purpose.
1. Multimodal models: text, image, audio, video and code
The Gemini family spans several models, from the lightest to the most powerful, all multimodal.
- Analyse documents mixing text, tables and images
- Work with audio and video: transcription, summarisation, information extraction
- Process very large volumes in a single request thanks to the extended context
- Pick the right model for each task to optimise your costs
2. The Gemini assistant: AI inside Google tools
Gemini is also an assistant available directly and integrated into the Google ecosystem.
- Ask the assistant to write, summarise and research
- Save time in Gmail, Docs and Sheets with AI built into Workspace
- Rely on Google Search for answers grounded in current information
- Roll the assistant out to your teams with the Workspace plans
- Discover the service here
3. Vertex AI and the API: Gemini for your applications
On the enterprise side, the models plug into your applications through Google Cloud.
- Integrate Gemini into your business applications via the API
- Industrialise your use cases on Vertex AI, Google Cloud's ML platform
- Ground answers in your own company data
- Benefit from Google Cloud's governance and security
- Discover the service here
4. Google ecosystem integration: data right next to the AI
Gemini's real differentiator is its proximity to the tools and data already in place.
- Connect AI to the analytical data you already host on Google Cloud
- Pair Gemini with BigQuery to query your data in natural language
- Limit data transfers by keeping AI inside your cloud environment
- Build on your teams' existing Google Cloud skills
What if you are not on Google?
Gemini remains accessible via the API, but its competitive edge is strongest for organisations already running on Google Cloud or BigQuery. Elsewhere, it competes with the models from OpenAI and Anthropic, use case by use case.
Planning an AI project on the Google ecosystem? turnK integrates Gemini with your data and applications, from Workspace to Vertex AI. Take a look at our Data & AI services or contact us: our consultants reply within 48 hours.
Les questions les plus fréquentes
Gemini is Google's family of multimodal AI models, capable of processing text, images, audio, video and code. It powers Google's AI assistant and is available to businesses through the API and Vertex AI on Google Cloud.
Everyday users of the assistant, teams on Google Workspace who get AI inside their tools, and companies building AI applications on Google Cloud, especially those whose data already lives there.
Multimodal models with an extended context window, an assistant integrated into Google tools, model access through the API and Vertex AI for enterprise applications, and native integration with the Google Cloud data ecosystem.
The assistant comes in a free version and paid plans, notably through Google and Workspace subscriptions. The API is billed on usage through Google Cloud, depending on the model and volume processed. Up-to-date pricing is available on Google's official websites.
Yes, the models remain accessible via the API whatever your tech stack. But the value is greatest when your data and tools already live in the Google ecosystem. turnK helps you compare Gemini with the alternatives based on your real context.
