Azure AI Search pricing for app search

Azure AI Search pricing for an app search setup depends mainly on your search tier, the number of replicas/partitions, and whether you use extra features like semantic search or vector search.

What you pay for

Azure AI Search is billed primarily by search units (SU):

• 1 Search Unit = 1 partition + 1 replica
• You usually scale by changing:
  • Partitions → more storage and indexing capacity
  • Replicas → more query throughput and high availability

So monthly cost is roughly:

Price per service tier × number of search units × hours used

Main pricing factors

1) Tier

Common tiers include:

• Free: very limited, for testing only
• Basic
• Standard tiers (S1, S2, S3, depending on region)
• Some workloads may use higher tiers or specialized options

Higher tiers give:

• More storage
• More indexes/docs
• Better throughput
• More advanced capabilities

2) Replicas

• More replicas = better query performance and availability
• Needed for production if you want resilient search

3) Partitions

• More partitions = larger index capacity
• Also helps with ingestion/indexing scale

4) Optional features

Depending on your app search design, you may also incur costs for:

• Semantic ranker
• Vector search
• AI enrichment / skillsets via Azure AI services
• Storage for associated resources if applicable

Typical app search use case

For a small-to-medium app search:

• Basic or S1
• 1 partition
• 1–2 replicas

For production apps with traffic:

• Usually S1 or S2
• Scale replicas for query load
• Scale partitions for index size

Important note

Azure AI Search pricing is region-dependent, and exact rates can change. The safest way to estimate is to use the official pricing page or Azure Pricing Calculator.

Official pricing tools

• Azure AI Search pricing page
• Azure Pricing Calculator

If you want, I can also help you with:

1. a rough monthly cost estimate for your app, or
2. a recommended Azure AI Search tier based on your app size and traffic.