Side-by-Side Comparison · 2026
Azure OpenAI Service vs Google Vertex AI: Full Comparison (2026)
Azure OpenAI Service is enterprise-grade access to gpt-4, o3, and dall-e 3 on microsoft azure. Google Vertex AI is google cloud's unified ml platform for enterprise ai at scale. Use the breakdown below to find the right fit for your needs.
Azure OpenAI Service
Microsoft / OpenAI
PaidGoogle Vertex AI
Google Cloud
PaidSide-by-Side Overview
- Pricing Model
- Azure OpenAI Service: PaidGoogle Vertex AI: Paid
- API Access
- Azure OpenAI Service: AvailableGoogle Vertex AI: Available
- Platforms
- Azure OpenAI Service: Azure Portal, REST API, Azure SDKs, Semantic Kernel, Azure AI FoundryGoogle Vertex AI: Google Cloud Console, Python SDK, REST API, gcloud CLI
- Integrations
- Azure OpenAI Service: 7 integrationsGoogle Vertex AI: 7 integrations
- Vendor
- Azure OpenAI Service: Microsoft / OpenAIGoogle Vertex AI: Google Cloud
- Category
- Azure OpenAI Service: APIsGoogle Vertex AI: Platforms
- Launch
- Azure OpenAI Service: Nov 2021 (preview); Jan 2023 (GA)Google Vertex AI: May 18, 2021 (Vertex AI launch)
- Models
- Azure OpenAI Service: GPT-4o, GPT-4.1Google Vertex AI: Gemini 2.5 Pro/Flash, Gemini 3.5 Flash
| Feature | Azure OpenAI Service | Google Vertex AI |
|---|---|---|
| Pricing Model | Paid | Paid |
| API Access | Available | Available |
| Platforms | Azure Portal, REST API, Azure SDKs, Semantic Kernel, Azure AI Foundry | Google Cloud Console, Python SDK, REST API, gcloud CLI |
| Integrations | 7 integrations | 7 integrations |
| Vendor | Microsoft / OpenAI | Google Cloud |
| Category | APIs | Platforms |
| Launch | Nov 2021 (preview); Jan 2023 (GA) | May 18, 2021 (Vertex AI launch) |
| Models | GPT-4o, GPT-4.1 | Gemini 2.5 Pro/Flash, Gemini 3.5 Flash |
About Azure OpenAI Service
Designed For
- Enterprise AI applications
- Compliant AI for regulated industries
- Copilot customization
- RAG with Azure AI Search
About Google Vertex AI
Designed For
- Enterprise AI pipelines
- Custom model training
- RAG applications
- MLOps
Strengths & Limitations
Azure OpenAI Service
Strengths
- Enterprise compliance (HIPAA, SOC2, ISO 27001)
- Private network deployment
- Customer-managed keys
- Fine-tuning support
- Azure integration
Limitations
- Complex provisioning
- Higher cost vs direct OpenAI API
- Capacity constraints
- Azure dependency
Google Vertex AI
Strengths
- Access to all Gemini models
- Grounding with Google Search
- AutoML capabilities
- Enterprise-grade security
- Model Garden (150+ models)
Limitations
- Google Cloud dependency
- Complex pricing
- Learning curve
- Slower iteration vs OpenAI
Frequently Asked Questions
What is the difference between Azure OpenAI Service and Google Vertex AI?
Azure OpenAI Service is enterprise-grade access to gpt-4, o3, and dall-e 3 on microsoft azure, while Google Vertex AI is google cloud's unified ml platform for enterprise ai at scale. Azure OpenAI Service is designed for Regulated industries (finance, healthcare, government), Microsoft-centric enterprises; Google Vertex AI is designed for Google Cloud enterprises, Data science teams. The right fit depends on your specific requirements.
How do the pricing models compare?
Azure OpenAI Service is available under a Paid model. Google Vertex AI is available under a Paid model. Azure OpenAI Service's entry tier starts at $2.50/M input, $10/M output. Google Vertex AI's entry tier starts at Per token/compute hour. Always verify pricing on each vendor's official website as it may change.
What integrations does each tool support?
Azure OpenAI Service integrates with Azure AI Search, Azure Cognitive Services, Power Platform, Dynamics 365. Google Vertex AI integrates with BigQuery, Cloud Storage, Kubernetes (GKE), Looker. Check each vendor's documentation for the full and current list.
How do I choose between Azure OpenAI Service and Google Vertex AI?
Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.