Azure OpenAI vs OpenAI Direct: API Pricing and Model Comparison
Azure OpenAI offers enterprise features while OpenAI Direct offers simplicity. Here's how they compare on pricing, capabilities, and use cases.
Pricing data sourced from our catalog. Check data sources for provenance and freshness.
Provider overview
Azure OpenAI
- Strengths: Enterprise security, compliance, SLA
- Model count: 183 models
- Pricing: Similar to OpenAI Direct with Azure infrastructure costs
OpenAI Direct
- Strengths: Simplicity, latest models, lower cost
- Model count: 145 models
- Pricing: Direct pricing without Azure infrastructure
Pricing comparison
Chat models
| Provider | Model | Input | Output |
|---|---|---|---|
| Azure | gpt-5-nano | $0.0500 | $0.4000 |
| Azure | gpt-5-nano-2025-08-07 | $0.0500 | $0.4000 |
| Azure | gpt-5-nano-2025-08-07 | $0.0550 | $0.4400 |
| OpenAI | gpt-5-nano | $0.0500 | $0.4000 |
| OpenAI | gpt-5-nano-2025-08-07 | $0.0500 | $0.4000 |
| OpenAI | gpt-4.1-nano | $0.1000 | $0.4000 |
When to choose Azure OpenAI
- Enterprise compliance: When you need SOC 2, HIPAA, or GDPR
- Data residency: When you need data to stay in specific regions
- Integration: When you need native Azure services integration
- SLA: When you need enterprise-grade SLAs
When to choose OpenAI Direct
- Simplicity: When you want the simplest API experience
- Latest models: When you need the newest models immediately
- Cost: When cost is the primary concern
- Prototyping: When you're building prototypes or MVPs
Compare directly
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Frequently asked questions
Is Azure OpenAI more expensive than OpenAI Direct?
Azure OpenAI pricing is similar to OpenAI Direct, but may include additional Azure infrastructure costs. For enterprise deployments, the compliance and security features may justify the difference.
What compliance certifications does Azure OpenAI have?
Azure OpenAI inherits Azure's compliance certifications, including SOC 2, HIPAA, GDPR, ISO 27001, and more.
Can I use Azure OpenAI for data-sensitive workloads?
Yes, Azure OpenAI is designed for enterprise workloads with data sensitivity requirements. Your data is not used for model training.