GPT-3.5 Turbo Instruct Azure Pricing
OpenAI prices for Azure OpenAI in Microsoft Foundry. Published rates cover 2 deployment profiles across 3 Azure Public price regions.
Prices by deployment type
All rates are USD per 1 million tokens. Each row uses its own deployment type and published price regions. A range reflects regional differences within that type. Missing prices mean no published meter in this snapshot; they do not mean free usage. A retail price does not guarantee deployment availability or quota.
| Deployment type | Input / 1M | Output / 1M | Cached input / 1M | Cache write / 1M | Price regions |
|---|---|---|---|---|---|
| Global Standard | $1.50 | $2.00 | Not published | Not published | 1 |
| Regional Standard | $1.65 - $1.815 | $2.20 - $2.42 | Not published | Not published | 2 |
The tables contain only this OpenAI listing. Other providers, versions and similarly named Azure products can have different meters. Some token categories may be missing in individual regions; expand the regional tables for exact coverage.
How token costs are calculated
For each region and deployment type, multiply each token category by its matching rate, then divide the sum by 1,000,000. Monthly estimates multiply that request cost by the number of requests. Ranges use complete workloads priced in each region, so input and output prices from different regions are never combined.
Request cost = (uncached input tokens × input rate + cached input tokens × cached input rate + cache-write input tokens × cache-write rate + output tokens × output rate) / 1,000,000.
The examples below use zero cache writes. The cached example assumes half of the input tokens are eligible cache reads on every request; actual cache hit rates and any cache creation charges depend on the deployment. Missing cache rates are not replaced with ordinary input rates. Estimates cover these token meters only, before taxes, negotiated discounts and any separate hosting, tools, media or provisioned-capacity charges.
Some model token limits are not published in the metadata. These are arithmetic cost examples; verify that your deployment supports the workload before using it.
Global Standard prices and cost examples
- Global processing
- Inference data may be processed in any Azure region.
- Standard pay-per-token
- Input and output usage is billed by token. Standard deployments provide best-effort throughput; reserved PTU pricing is separate.
Example workload: 3,000 input and 1,000 output tokens per request, with 10,000 requests per month.
No cached input
- Per request
- $0.0065
- Per month
- $65.00
Across 1 published price regions.
Customize workload or price region for Global Standard, No cached input50% cached input
Estimate unavailable
Published cached input prices are missing for this workload.
Customize workload or price region for Global Standard, 50% cached inputView 1 region prices for Global Standard
Price region identifies the Azure retail meter; processing location follows the deployment type described above. Dates show the latest effective meter in each row, not when prices were last checked. All token rates are USD per 1 million tokens.
| Azure Public price region | Input / 1M | Output / 1M | Cached input / 1M | Cache write / 1M | Meter effective dates (UTC) |
|---|---|---|---|---|---|
| Spain Centralspaincentral | $1.50 | $2.00 | Not published | Not published |
Regional Standard prices and cost examples
- Single-region processing
- Inference data is processed in the deployment region. Microsoft names the pay-per-token deployment type Standard; this directory uses Regional Standard to make its scope explicit.
- Standard pay-per-token
- Input and output usage is billed by token. Standard deployments provide best-effort throughput; reserved PTU pricing is separate.
Example workload: 3,000 input and 1,000 output tokens per request, with 10,000 requests per month.
No cached input
- Per request
- $0.00715 - $0.007865
- Per month
- $71.50 - $78.65
Across 2 published price regions.
Customize workload or price region for Regional Standard, No cached input50% cached input
Estimate unavailable
Published cached input prices are missing for this workload in one or more matching price regions. Select a region with complete prices.
Customize workload or price region for Regional Standard, 50% cached inputView 2 region prices for Regional Standard
Price region identifies the Azure retail meter; processing location follows the deployment type described above. Dates show the latest effective meter in each row, not when prices were last checked. All token rates are USD per 1 million tokens.
| Azure Public price region | Input / 1M | Output / 1M | Cached input / 1M | Cache write / 1M | Meter effective dates (UTC) |
|---|---|---|---|---|---|
| East USeastus | $1.65 | $2.20 | Not published | Not published | |
| Sweden Centralswedencentral | $1.815 | $2.42 | Not published | Not published |
Model information and limits
Compact GPT model for low-latency assistance and high-volume workloads
- Metadata model ID
- gpt-3.5-turbo-instruct
- Metadata match
- model
- Input modalities
- text
- Output modalities
- text
- Context window (tokens)
- 4,096
- Maximum input tokens
- Not published
- Maximum output tokens
- 4,096
- Reasoning
- No
- Tool calling
- No
- Structured output
- Not published
Supplemental metadata comes from Models.dev, with verified Azure version corrections where available. Family matches do not establish version-specific limits. Confirm capabilities and lifecycle in the official model catalog.
Price sources and deployment guidance
Rates come from the Azure Retail Prices API. This page covers consumption token meters in Azure Public. Provisioned throughput, training, non-token media meters and sovereign-cloud pricing are separate billing scopes.
- Microsoft Foundry pricing
Review the official platform pricing overview and Azure purchasing guidance.
- Microsoft Foundry model catalog
Browse the broader official model catalog, providers, APIs, and capabilities.
- Foundry Models sold by Azure
Check model IDs, context windows, APIs, capabilities, and lifecycle guidance.
- Azure OpenAI pricing
Review Microsoft's public model tables and current Azure OpenAI list prices.
- Foundry deployment types
Understand data processing scope, pay-per-token, Batch, and provisioned PTUs.
- Azure Retail Prices API
See the Microsoft API documentation for the retail meter data used here.