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Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft, date of purchase, and the currency exchange rate. Prices are calculated based on US dollars and converted using London closing spot rates that are captured in the two business days prior to the last business day of the previous month end. If the two business days prior to the end of the month fall on a bank holiday in major markets, the rate setting day is generally the day immediately preceding the two business days. This rate applies to all transactions during the upcoming month. Sign in to the Azure pricing calculator to see pricing based on your current program/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. See frequently asked questions about Azure pricing.
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Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
Serverless Deployment
Azure AI Foundry Models continues to grow with cutting-edge additions—including models from OpenAI, DeepSeek, xAI’s Grok, Meta’s Llama, Mistral AI, FLUX by Black Forest Labs, and more. These models are fully hosted and managed on Azure, and available through both pay-as-you-go and provisioned throughput options. With Provisioned Throughput, you can even flex capacity across multiple models, such as OpenAI and DeepSeek, for greater efficiency and control.
AOAI
Open AI Pricing Page: Azure OpenAI Service - Pricing | Microsoft Azure
Phi
Language models
| Models | Context | Input (Per 1,000 tokens) | Output (Per 1,000 tokens) |
|---|---|---|---|
| Phi-3-mini-4k-instruct | 4K | $- | $- |
| Phi-3-mini-128k-instruct | 128K | $- | $- |
| Phi-3.5-mini-instruct | 128K | $- | $- |
| Phi-3-small-8k-instruct | 8K | $- | $- |
| Phi-3-small-128k-instruct | 128K | $- | $- |
| Phi-3-medium-4k-instruct | 4K | $- | $- |
| Phi-3-medium-128k-instruct | 128K | $- | $- |
| Phi-3.5-MoE-instruct | 128K | $- | $- |
| Phi-4 | 128K | $- | $- |
| Phi-4-mini | 128K | $- | $- |
| Phi-4-multimodal, text and image | 128K | $- | $- |
| Phi-4-multimodal, audio | 128K | $- | $- |
| Phi-4-mini-reasoning | 128K | $- | $- |
| Phi-4-reasoning | 32K | $- | $- |
| Phi-4-reasoning-plus | 32K | $- | $- |
Fine-tuning models
| Models | Training per 1,000 tokens | Hosting per hour | Input Usage per 1,000 tokens | Output Usage per 1,000 tokens |
|---|---|---|---|---|
| Phi-3-mini-4k-instruct | $- | $- | $- | $- |
| Phi-3-mini-128k-instruct | $- | $- | $- | $- |
| Phi-3.5-mini-instruct | $- | $- | $- | $- |
| Phi-3-medium-4k-instruct | $- | $- | $- | $- |
| Phi-3-medium-128k-instruct | $- | $- | $- | $- |
| Phi-3.5-MoE-instruct | $- | $- | $- | $- |
| Phi-4 | $- | $- | $- | $- |
| Phi-4-mini | $- | $- | $- | $- |
DeepSeek is a family of large language models (LLMs) developed by the DeepSeek AI research team. These models are designed to perform a wide range of natural language processing (NLP) and reasoning tasks, with a focus on open-source accessibility, performance optimization, and multi-modal capabilities.
Language models
| Models | Input (Per 1,000 tokens) | Output (Per 1,000 tokens) |
|---|---|---|
| DeepSeek R1 Global | $- | $- |
| DeepSeek R1 DataZone | $- | $- |
| DeepSeek R1 Regional | $- | $- |
| DeepSeek V3 Global | $- | $- |
| DeepSeek V3 Regional | $- | $- |
| DeepSeek V3 0324 Global | $- | $- |
| DeepSeek V3 0324 Regional | $- | $- |
Provisioned
| Models | Min PTU | PTU Hourly Pricing | PTU Monthly Reservation Pricing |
|---|---|---|---|
| DeepSeek R1 Global | 100 | $- | $- |
| DeepSeek V3 Global | 100 | $- | $- |
| DeepSeek V3 0324 Global | 100 | $- | $- |
| Models | Input (Per 1,000 tokens) | Output (Per 1,000 tokens) |
|---|---|---|
| MAI-DS-R1 Global | $- | $- |
| MAI-DS-R1 Regional | $- | $- |
Provisioned
| Models | Min PTU | PTU Hourly Pricing | PTU Monthly Reservation Pricing |
|---|---|---|---|
| MAI-DS-R1 Global | 100 | $- | $- |
| Models | Input (Per 1,000 tokens) | Output (Per 1,000 tokens) |
|---|---|---|
| Grok-3 Global | $- | $- |
| Grok-3 DataZone | $- | $- |
| Grok-3 Regional | $- | $- |
| Grok-3 Mini Global | $- | $- |
| Grok-3 Mini DataZone | $- | $- |
| Grok-3 Mini Regional | $- | $- |
| Models | Input (Per 1,000 tokens) | Output (Per 1,000 tokens) |
|---|---|---|
| Llama 3.3 70B Datazone | $- | $- |
| Llama 3.3 70B Global | $- | $- |
| Llama 3.3 70B Regional | $- | $- |
| Llama4 Maverick 17B Datazone | $- | $- |
| Llama4 Mavrick 17B Global | $- | $- |
| Llama4 Maverick 17B Regional | $- | $- |
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