Azure Architecture & Pricing Tiers

System Framework: Enterprise LLM Knowledge Base

A structured breakdown mapping infrastructure baselines, contrasting search layers, and providing predictable budgeting configurations for your intelligent cloud application.

Shared Core Technology Stack

Web Front-End

Azure SWA

Static Web Apps global hosting with custom routing capabilities.

Database Layer

Cosmos DB

NoSQL transactional storage supporting active multi-region data.

Intelligence Engine

Azure AI Foundry

On-demand global endpoints processing high-tier GPT-4.1 language execution.

Unstructured Storage

Blob Storage

Hot tier document repositories hosting raw indexer source targets.

Data Pipeline

Indexes & Indexers

Automated ingestion syncing file updates natively to vector spaces.

Architecture Scaling Plans

Compare AI Search infrastructure tiers

Fixed base profiles calculated using Azure retail standards. Select the structural tier fitting your compliance and data scale requirements.

Plan 01

Sandbox Evaluation Archetype

Tailored for validation prototypes, internal POC engineering, and low-complexity data boundaries.

$30.68 / Month Baseline

✓ Azure AI Search: Free Tier ($0.00)
↳ Limited to 3 Indexes & 50 MB Vector Index Store
✓ Azure Cosmos DB NoSQL ($11.68 standard baseline)
✓ Static Web Apps Standard Tier ($9.00 fixed line)
✓ Blob Storage + Foundational OpenAI Base Layer (~$10)

Best For: Prototype Validation & Testing

Active Configuration

Production Standard

Plan 02

Production Ready Enterprise

Engineered to sustain customer-facing SLAs, large indexed multi-format catalogs, and multi-tenant systems.

$104.41 / Month Baseline

✓ Azure AI Search: Basic Tier (~$73.73)
↳ Production SLA, 15 Indexes, 15 GB Dedicated Store
✓ Azure Cosmos DB Scaled Throughput ($11.68)
✓ Static Web Apps Standard Tier ($9.00)
✓ Blob Storage + Active Foundation Core Pipeline (~$10)

Best For: Commercial Applications & Production Datasets

Scale Optimization Tier

Cost Analytics Dashboard

Financial profile visualizations

The following charts use the same baseline assumptions and neutral visual language as this report.

Cost Distribution

Monthly baseline split across core platform components.

Cost Drivers

Primary contributors to recurring monthly spend.

Interactive Calculation Engine

Dynamic Model Consumption Predictor

Simulate estimated monthly bills for Azure OpenAI (GPT-4.1) compute resources contextually based on user volume and average operational token loops.

Estimated Active Monthly Users

Total distinct employees or platform clients query-active each month.

Queries Per User / Month

Average monthly volume of model submissions processed per single person.

Average Input Payload (Tokens) 1,500 tokens / request Covers application UI context, indexed vector document snippets injected via RAG, and prompt instructions.

Average Output Response (Tokens) 1,500 tokens / request Represents standard generated output containing response answers, reasoning context, and analytical returns.

Total Simulated Monthly Scale

10,000 total production queries processing roughly 20.0M tokens.

Estimated Model Compute / Mo $70.00