Multimodal & Cost Leader

Google Gemini
Enterprise AI

Gemini 3.8 Flash is Google's most intelligent Flash model, built for long-horizon software engineering, autonomous agents, and complex enterprise workflows. The lineup offers a 1M token context window, native multimodal processing (text, image, audio, video), and FedRAMP High authorization for Gemini in Workspace — the first generative AI assistant for productivity and collaboration suites to achieve it.

1M

Token Context

Largest context window — process entire codebases

3.8

Flagship Flash Model

Gemini 3.8 Flash — Google's most intelligent Flash model

$0.75

3.8 Flash Input / 1M Tokens

Promotional rate through 31 Dec 2026

$0.10

Flash-Lite Input / 1M Tokens

Gemini 2.5 Flash-Lite — Google's most affordable tier

Enterprise Capabilities

Gemini's unique strengths for enterprise AI deployment.

Native Multimodal

Built multimodal from the start — text, images, audio, and video input in a single model. Not bolted-on capabilities, but native architecture for unified understanding.

1M Token Context Window

The largest context window of any AI platform. Load entire project directories and get coherent, context-aware suggestions across massive codebases and document sets.

Flash Economics

Gemini 2.5 Flash runs at $0.30/$2.50 per 1M tokens with a full 1M token context window included — Gemini 2.5 Flash-Lite goes as low as $0.10/$0.40 for high-volume, cost-sensitive workloads.

FedRAMP High Authorization

Gemini in Workspace was the first generative AI assistant for productivity and collaboration suites to achieve FedRAMP High authorization. Also HIPAA compliant for healthcare deployments, SOC 2, and ISO 27001.

Generative UI

Gemini 3 introduced generative UI — the model creates interactive tools, simulations, and visualizations on the fly, moving beyond text to dynamic experiences.

Google Ecosystem Integration

Deep integration with Google Workspace, Vertex AI, and Google Cloud Platform — bringing enterprise data and Gemini's reasoning together in the tools your teams already use.

Gemini Model Lineup

From ultra-efficient 2.5 Flash to the flagship Gemini 3.8 Flash.

Gemini 2.5 Flash

$0.30 / $2.50 per 1M tokens

Lowest-cost stable Flash tier

Context: 1M tokens
Best for: High-volume tasks, automated workflows, CI/CD, classification

Gemini 2.5 Pro

$1.25 / $10.00 per 1M tokens (≤200K); $2.50 / $15.00 above 200K

Current stable Pro-tier model

Context: Large context window
Best for: Balanced enterprise workloads, multimodal analysis, content generation

Gemini 3.8 Flash

$0.75 / $3.75 per 1M tokens through 31 Dec 2026; $1.50 / $7.50 from 1 Jan 2027

Google's current flagship — most intelligent Flash model

Context: Large context window
Best for: Long-horizon software engineering, autonomous agents, complex enterprise workflows

Implementation Approach

How we deploy Google Gemini for enterprise clients.

01

Multimodal Assessment

Identify workflows that benefit from multimodal AI — document processing, video analysis, voice interfaces — and map them to Flash or Pro tiers.

02

Vertex AI Deployment

Deploy on Google Cloud's Vertex AI with enterprise-grade security, FedRAMP compliance, and integration with your Google Workspace environment.

03

Cost Optimization

Route high-volume tasks to Flash or Flash-Lite for a fraction of Pro-tier cost. Implement metered credits for agentic workloads and monitor token efficiency.

Deployment in South Africa

Google Gemini for South African Enterprises

AgentAgency.ai is headquartered in Cape Town and deploys Google Gemini across South African enterprise workflows — with POPIA compliance, King IV governance alignment, and AWS Cape Town (af-south-1) data residency. The Draft National AI Policy published by Cabinet on 10 April 2026 introduces risk-tier oversight under the FSCA, SARB, SAHPRA, and the Information Regulator, and our deployment blueprint for Google Gemini is engineered for those obligations from day one.

POPIA-first architecture

Google Gemini workloads run against AWS Cape Town (af-south-1) or Azure South Africa, with purpose limitation and data residency enforced at the prompt boundary and full audit logs retained for Information Regulator review.

FSCA & SARB evidence pack

Model cards, decision logs, explainability artefacts, and SARB model risk management documentation — ready for FSCA Conduct Standard examinations and the sector-regulator oversight assigned under the Draft National AI Policy.

Local Cape Town team, SAST hours

Implementation, compliance advisory, and customer success are delivered from Cape Town in SAST (GMT+2) — closing the shadow-AI governance gap that the South African GenAI Roadmap 2025 found affects 85% of SA enterprises.

Deploy Google Gemini
for Enterprise Scale

Our consultants help you leverage Gemini's multimodal capabilities, Flash economics, and FedRAMP compliance for maximum enterprise ROI.

FedRAMP High • HIPAA • ISO 27001