Gemini API

Gemini API Integration Agency for Production AI Features

Google Gemini delivers the longest context window in production AI (2M tokens), native multimodal capabilities and deep Google ecosystem integration. We integrate Gemini into your products and workflows — building AI features that leverage what makes Gemini uniquely powerful.

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Gemini 1.5 ProGemini Flash2M Context WindowMultimodal AIImage UnderstandingVideo AnalysisGoogle WorkspaceVertex AIFunction CallingRAG SystemsLong Document AICode GenerationGemini 1.5 ProGemini Flash2M Context WindowMultimodal AIImage UnderstandingVideo AnalysisGoogle WorkspaceVertex AIFunction CallingRAG SystemsLong Document AICode Generation

GEMINI API

Google's Most Capable AI Model, Integrated Into Your Products

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Gemini AI Feature Development

Gemini API integrated into your product — content generation, document analysis, question answering, summarisation and AI-powered features built on Google's most capable model.

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Multimodal Applications

Gemini's native multimodal understanding — images, documents, video and audio processed together with text in a single model call — enabling use cases impossible in text-only models.

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Long Document Processing

Gemini's 2M token context window used for processing entire legal documents, report libraries, knowledge bases and large data files in single API calls — without chunking complexity.

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Agentic Workflow Development

Gemini function calling and tool use for autonomous agent development — workflows where Gemini plans, reasons and takes actions through defined tools and APIs.

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Vertex AI Integration

Gemini deployed through Google Vertex AI for enterprise features — private endpoints, fine-tuning, data residency compliance and Google Cloud IAM security.

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Google Workspace Integration

Gemini integrated with Google Workspace data — Drive, Gmail, Calendar — for enterprise AI features that leverage existing organisational knowledge.

Frequently Asked Questions

Gemini is Google's large language model family — including Gemini 1.5 Pro (highest capability), Gemini Flash (fastest and most cost-efficient) and Gemini Ultra. Gemini 1.5 Pro has the largest context window in production AI (2M tokens) and strong multimodal capabilities. GPT-4o leads on overall benchmark performance; Claude leads on instruction-following and safety; Gemini leads on context length and Google ecosystem integration.

Gemini 1.5 Pro supports up to 2 million tokens in a single context — equivalent to approximately 10 large novels, 3 hours of video or a full codebase. This enables use cases requiring analysis of entire document archives, long video processing and codebase-level reasoning — without the chunking complexity required by models with smaller context windows.

Gemini natively understands images, video, audio and text in a single model — with no separate computer vision API required. This enables: image analysis, document understanding (PDFs, screenshots), video question answering, audio transcription with reasoning and combined text-image tasks in a single prompt.

Google Vertex AI is Google Cloud's managed AI platform providing enterprise features on top of Gemini: private API endpoints, fine-tuning capabilities, model evaluation tools, data residency options and IAM-based access control. For enterprise brands with Google Cloud infrastructure, GDPR data residency requirements or need for fine-tuned models, Vertex AI is the recommended integration path.

Gemini Flash is one of the most cost-efficient frontier models available — typically cheaper per token than GPT-4o and comparable to Claude Haiku. Gemini 1.5 Pro is priced comparably to GPT-4o and Claude Sonnet. For high-volume production use cases, Gemini Flash provides the best capability-to-cost ratio.

SCALE

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Build Production AI Features on Google's Most Capable Model

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