Azure OpenAI model pricing
Azure OpenAI pricing coverage indexed by CostHawk for searchable AI model cost tracking.
Indexed models
5
Last updated
Mar 6, 2026
Coverage
Searchable, crawlable model-level pricing for answer engines and buyers.
Dedicated provider page
Azure OpenAI pricing catalog
Searchable coverage
5 models visible across 1 provider.
Newest releases first inside each provider
5 models indexed
Azure-hosted OpenAI pricing for teams running through enterprise Azure contracts.
Updated Mar 6, 2026
| Model | Input / 1M | Output / 1M | Extra pricing |
|---|---|---|---|
$2.00 $0.0020 per 1K | $8.00 $0.0080 per 1K | Standard token pricing | |
$2.50 $0.0025 per 1K | $10.00 $0.010 per 1K | Standard token pricing | |
$0.150 $0.0001 per 1K | $0.600 $0.0006 per 1K | Standard token pricing | |
$1.10 $0.0011 per 1K | $4.40 $0.0044 per 1K | Standard token pricing | |
$15.00 $0.015 per 1K | $60.00 $0.060 per 1K | Standard token pricing |
Glossary Shortcuts
The five operating concepts behind provider pricing
If you are comparing providers, these are the related topics that usually decide the final architecture and spend profile.
Max Tokens
Provider pricing is easier to reason about once you understand the output cap that sets the per-request ceiling.
Read moreLLM Gateway
Use a routing layer when you need fallback paths, policy controls, or spend-aware traffic steering.
Read moreServerless Inference
Most public model APIs are bought as serverless inference, which changes how you think about capacity and cost.
Read moreLogging
Request metadata is what lets you connect provider price changes to real token consumption and failures.
Read moreOpenTelemetry
Telemetry standards help you stitch provider requests into traces, dashboards, and operational workflows.
Read moreAzure OpenAI Tracking
Track Azure OpenAI usage and model costs from one place
Use CostHawk to monitor Azure OpenAI alongside the rest of your stack, with local telemetry first and optional deeper tracking paths when your team needs them.