Azure OpenAI Service pricing overview
To help customers in the journey, we offer pricing and cost management solutions to meet your needs. including:
- Standard (On-Demand): Pay-as-you-go for input and output tokens.
- Provisioned (PTUs): Allocate throughput with predictable costs, with monthly and annual reservations available to reduce overall spend.
- Batch API: Language models are also now available in the Batch API for global deployments and three regions, that returns completions within 24 hours for a 50% discount on Global Standard Pricing.
- Global Deployment – Global SKU
- Data Zone Deployment – Geographic based (EU or US)
- Regional Deployment – Local Region (up to 27 regions)
浏览定价选项
应用筛选器来根据你的需求自定义定价选项。
价格仅是估算值，不应用作实际报价单。实际定价可能因与 Microsoft 签订的协议类型、购买日期和货币汇率而异。价格基于美元计算，并使用在上一个月末最后一个工作日之前的两个工作日内捕获的伦敦收盘即期汇率进行转换。如果本月底之前的两个工作日在主要市场中属于银行假日，则汇率确定日通常是紧接在此两个工作日之后的一天。此汇率适用于下个月的所有交易。登录到 Azure 定价计算器查看基于你与 Microsoft 的当前计划/产品/服务的定价。有关定价或请求报价的详细信息，请联系 Azure 销售专家。请参阅经常询问有关 Azure 定价的问题。
美国政府实体有资格从授权解决方案提供商处购买 Azure 政府服务（无需预付定金），或者可直接通过即用即付在线订阅购买。
重要提示 - 该价格 (R$) 只是一个参考；这是一项国际交易，最终价格受汇率和所含 IOF 税的影响。不会发布 eNF。
美国政府实体有资格从授权解决方案提供商处购买 Azure 政府服务（无需预付定金），或者可直接通过即用即付在线订阅购买。
重要提示 - 该价格 (R$) 只是一个参考；这是一项国际交易，最终价格受汇率和所含 IOF 税的影响。不会发布 eNF。
GPT-5.2
GPT-5.2 delivers the deep reasoning and expanded context handling necessary for building sophisticated AI agents capable of automating complex, long-running tasks across all business functions.
| Model | Pricing (1M Tokens) |
|---|---|
| GPT-5.2 Codex Global |
Input: $- Cached Input: $- Output: $- |
| GPT-5.2 Global |
Input: $- Cached Input: $- Output: $- |
| GPT-5.2 Data Zone |
Input: $- Cached Input: $- Output: $- |
| GPT-5.2-chat Global |
Input: $- Cached Input: $- Output: $- |
| GPT-5.2-chat Data Zone |
Input: $- Cached Input: $- Output: $- |
GPT-5.1
The GPT-5.1 series is built to respond faster to users in a variety of situations with adaptive reasoning, improving latency and cost efficiency across the series by varying thinking time more significantly. This, combined with other tooling improvements, enhanced stepwise reasoning visibility, multimodal intelligence, and enterprise-grade compliance.
| Model | Pricing (1M Tokens) |
|---|---|
| GPT-5.1 Global |
Input: $- Cached Input: $- Output: $- |
| GPT-5.1 Data Zone |
Input: $- Cached Input: $- Output: $- |
| GPT-5.1-chat Global |
Input: $- Cached Input: $- Output: $- |
| GPT-5.1-codex Global |
Input: $- Cached Input: $- Output: $- |
| GPT-5.1-codex-max Global |
Input: $- Cached Input: $- Output: $- |
| GPT-5.1-codex-mini Global |
Input: $- Cached Input: $- Output: $- |
GPT-5 series
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| GPT-5 2025-08-07 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Cached Input: $- Output: $- |
| GPT-5 Data Zone |
Input: $- Cached Input: $- Output: $- |
Input: $- Cached Input: $- Output: $- |
| GPT-5 Pro Global |
Input: $- Output: $- |
N/A |
| GPT-5 Codex Global |
Input: $- Cached Input: $- Output: $- |
N/A |
| GPT-5-mini Global |
Input: $- Cached Input: $- Output: $- |
N/A |
| GPT-5-mini Data Zone |
Input: $- Cached Input: $- Output: $- |
N/A |
| GPT-5-nano Global |
Input: $- Cached Input: $- Output: $- |
N/A |
| GPT-5-nano Data Zone |
Input: $- Cached Input: $- Output: $- |
N/A |
| GPT-5 chat Global |
Input: $- Cached Input: $- Output: $- |
N/A |
Deep Research
Deep Research enables developers and enterprises to automate complex research tasks with structured, citation-rich answers. It is suitable for building customer support bots, internal knowledge assistants, or market analysis tools. Deep Research delivers transparent, auditable insights grounded in real-time web data. Search context tokens are charged input token prices for the model being used. You’ll separately incur charges for Grounding with Bing Search and the base GPT model being used for clarifying questions.
| Model | Pricing |
|---|---|
| o3-deep research Global |
Input: $- Cached Input: $- Output: $- |
o3
o3 is a powerful reasoning model from the o-series of reasoning models, pushing the frontier across coding, math, science, and visual perception. It excels in complex queries requiring multi-faceted analysis and performs strongly in visual tasks like analyzing images, charts, and graphics. The model features a 200K token context window and has a knowledge cutoff of June 2024.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| o3 2025-04-16 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| o3 2025-04-16 Data Zone |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| o3 2025-04-16 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
o4-mini
o4-mini is a compact, efficient, and cost-effective reasoning model from OpenAI's o-series. It excels in math, coding, and visual tasks. The model features a 200K token context window and has a knowledge cutoff of June 2024.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| o4-mini 2025-04-16 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| o4-mini 2025-04-16 Data Zone |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| o4-mini 2025-04-16 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
GPT-4.1 series
GPT-4.1 series is a highly advanced general-purpose model with extensive world knowledge and an enhanced ability to understand user intent, making it particularly adept at creative tasks and agentic planning. The series features a 1 million token context window and has a knowledge cutoff of June 2024.
| Model | Standard Pricing (1M Tokens) | Priority Processing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|---|
| GPT-4.1-2025-04-14 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4.1-2025-04-14 Data Zone |
Input: $- Cached Input: $- Output: $- |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4.1-2025-04-14 Regional |
Input: $- Cached Input: $- Output: $- |
N/A | N/A |
| GPT-4.1-mini-2025-04-14 Global |
Input: $- Cached Input: $- Output: $- |
N/A |
Input: $- Output: $- |
| GPT-4.1-mini-2025-04-14 Data Zone |
Input: $- Cached Input: $- Output: $- |
N/A |
Input: $- Output: $- |
| GPT-4.1-mini-2025-04-14 Regional |
Input: $- Cached Input: $- Output: $- |
N/A | N/A |
| GPT-4.1-nano-2025-04-14 Global |
Input: $- Cached Input: $- Output: $- |
N/A |
Input: $- Output: $- |
| GPT-4.1-nano-2025-04-14 Data Zone |
Input: $- Cached Input: $- Output: $- |
N/A |
Input: $- Output: $- |
| GPT-4.1-nano-2025-04-14 Regional |
Input: $- Cached Input: $- Output: $- |
N/A | N/A |
Sora in Azure OpenAI
Sora is a multimodal generative AI model now available in Azure AI Foundry, designed to help creative teams bring ideas to life through seamless API-first integration. Built on Azure’s enterprise-grade infrastructure, it offers secure, scalable deployment for transforming concepts into high-quality visual content.
Sora 2
| Model | Size: Output Resolution | Price per second |
|---|---|---|
| Sora 2 Global |
Portrait: 720x1280 Landscape: 1280x720 |
$- |
Sora
| Price per second | 1-5s | 6-10s | 11-15s | 16-20s |
|---|---|---|---|---|
| 480 Square Global | $- | $- | $- | $- |
| 480p Global | $- | $- | $- | $- |
| 720 Square Global | $- | $- | $- | $- |
| 720p Global | $- | $- | $- | $- |
| 1080 Square Global | $- | $- | $- | $- |
| 1080p Global | $- | $- | $- | $- |
GPT-Image-1
GPT-image-1 enhances DALL·E with better instruction following, accurate text rendering, and support for image input and editing. The model is priced per token, with different pricing for text and image tokens.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| GPT-Image-1.5 Global |
Input Text: $- Cached Input Text: $- Input Image: $- Cached Input Image: $- Output Text: $- Output Image: $- |
N/A |
| GPT-Image-1-mini Global |
Input Text: $- Cached Input Text: $- Input Image: $- Cached Input Image: $- Output Image: $- |
N/A |
| GPT-Image-1 Global |
Input Text: $- Cached Input Text: $- Input Image: $- Cached Input Image: $- Output Image: $- |
N/A |
| GPT-Image-1 Regional |
Input Text: $- Cached Input Text: $- Input Image: $- Cached Input Image: $- Output Image: $- |
N/A |
| GPT-Image-1 Data Zone |
Input Text: $- Input Image: $- Output Image: $- |
N/A |
GPT-4.5
GPT-4.5-preview is the latest general purpose model with deep world knowledge and better understanding of user intent that makes it good at creative tasks and agentic planning. The model has 128K context and an October 2023 knowledge cutoff.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| GPT-4.5-Preview-2025-02-27 Global |
Input: $- Cached Input: $- Output: $- |
N/A |
o1
o1 is the new reasoning model series for complex tasks. The model has 200K context and an October 2023 knowledge cutoff.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| o1 2024-12-17 Global |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1 2024-12-17 US/EU – Data Zones |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1 2024-12-17 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1 preview 2024-09-12 Global |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1 preview 2024-09-12 US/EU – Data Zones |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1 preview 2024-09-12 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
Plan with the Pricing Calculator
o3 Mini
The o3 mini is the updated version of o1 mini model. o3-mini is a fast, cost-efficient reasoning model tailored to coding, math, and science use cases.
The o3-mini model now boasts an expanded context input window of 200K tokens and a maximum output of 100K tokens, providing ample space for complex and detailed responses. The o1 mini model has 128K context input. Both o3 and o1 models have a knowledge cutoff of October 2023.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| o3 mini 2025-01-31 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| o3 mini 2025-01-31-US/EU – Data Zones |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| o3 mini 2025-01-31 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1-mini 2024-09-12 Global |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1-mini 2024-09-12 US/EU – Data Zones |
Input: $- Cached Input: $- Output: $- |
N/A |
| o1-mini 2024-09-12 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
Plan with the Pricing Calculator
Open Source Models
gpt-oss-120b offers a high-performing, open and controllable LLM—blending frontier reasoning skills with enterprise-grade flexibility and deployment autonomy.
| Model | Pricing (1M Tokens) |
|---|---|
| gpt-oss-120b |
Input: $- Output: $- |
Audio Models
GPT-realtime and GPT-audio models are now available via Azure AI Foundry and Azure OpenAI Service, enabling high-fidelity, low-latency voice interactions for production-grade applications. Additional audio models include GPT-4o, transcribe mini, and mini-tts, which deliver advanced speech-to-text and text-to-speech capabilities with emotionally expressive voices, customizable outputs, and superior accuracy—ideal for live customer call centers, real-time captioning, and interactive voice agents. The models leverage pretraining and distillation techniques to support natural turn-taking and stable APIs for multimodal deployments.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| GPT-realtime |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- Image Input: $- Cached Input: $- |
N/A |
| GPT-realtime-mini-2025-12-15 Global |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- Image Input: $- Cached Input: $- |
N/A |
| GPT-audio |
Text Input: $- Output: $- Audio Input: $- Output: $- |
N/A |
| GPT-audio-mini-2025-12-15 Global |
Text Input: $- Output: $- Audio Input: $- Output: $- |
N/A |
| GPT-4o-Transcribe |
Text Input: $- Output: $- Audio Input: $- Output: N/A |
N/A |
| GPT-4o-transcribe-diarize |
Text Input: $- Output: $- Audio Input: $- Output: N/A |
N/A |
| GPT-4o-mini-transcribe-2025-12-15 |
Text Input: $- Output: $- Audio Input: $- Output: N/A |
N/A |
| GPT-4o-mini-TTS-2025-12-15 |
Text Input: $- Output: N/A Audio Input: N/A Output: $- |
N/A |
Computer-Using Agent (CUA)
The Computer-Using Agent (CUA) is a specialized AI model that allows AI to interact with graphical user interfaces (GUIs), navigate applications, and automate multi-step tasks—all through natural language instructions. The CUA model can be used as a tool in the Responses API.
| Model | Pricing |
|---|---|
| computer-use-preview Global |
Input: $-/1M tokens Output: $-/1M tokens |
Built-in tools
The Responses API and the Assistants API enable seamless interaction with tools like computer use, code interpreter, function calling, and file search, making it easy for developers to build AI agents.
| Tool | Input |
|---|---|
| Computer Use (Responses API only) |
Input: $-/1M tokens Output: $-/1M tokens |
| File Search Tool Call (Responses API only) | $-/1K tool calls |
| File Search* | $-/GB of vector-storage per day (1 GB free) |
| Code Interpreter** | $-/session |
*GB refers to binary gigabytes, where 1 gb is 2^30 bytes.
**If your assistant calls Code Interpreter simultaneously in two different threads, this would create two Code Interpreter sessions (2 * $-). Each session is active by default for one hour, which means that you would only pay this fee once if your user keeps giving instructions to Code Interpreter in the same thread for up to one hour.
Inference cost (input and output) varies based on the GPT model used with each Assistant. If your assistant calls Code Interpreter simultaneously in two different threads, this would create two Code Interpreter sessions (2 * $-). Each session is active by default for one hour, which means that the price is for up to one hour of giving instructions to Code Interpreter in the same thread.
Realtime API
Featured in the Realtime API, the GPT-4o-Realtime-Preview supports multilingual speech-to-speech capabilities. Optimized for real-time, low-latency conversations, it enables natural interactions with minimal delay, ideal for chatbots and conversational AI. GPT-4o is the comprehensive, more powerful version designed for complex tasks, while GPT-4o Mini is a smaller, more affordable option ideal for simpler applications where cost-efficiency and speed are priorities.
| Model | Pricing (1M Tokens) |
|---|---|
| GPT-4o-Realtime-Preview-2024-12-17-Global |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Realtime-Preview-2024-12-17-US/EU – Data Zones |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Realtime-Preview-2024-12-17-Regional |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Mini-Realtime-Preview-2024-12-17-Global |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Mini-Realtime-Preview-2024-12-17-US/EU – Data Zones |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Mini-Realtime-Preview-2024-12-17-Regional |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Realtime-Preview-2024-10-01-Global |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Realtime-Preview-2024-10-01-US/EU – Data Zones |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
| GPT-4o-Realtime-Preview-2024-10-01-Regional |
Text Input: $- Cached Input: $- Output: $- Audio Input: $- Cached Input: $- Output: $- |
Chat Completions API
Featured in the Chat Completions API, the GPT 4o-Audio-Preview model processes and generates audio content. It supports advanced features like speech recognition and audio synthesis, ideal for asynchronous speech interactions and sentiment analysis. GPT-4o is the comprehensive, more powerful version designed for complex tasks, while GPT-4o Mini is a smaller, more affordable option ideal for simpler applications where cost-efficiency and speed are priorities.
| Model | Pricing (1M Tokens) |
|---|---|
| GPT-4o-Audio-Preview-2024-12-17-Global |
Text Input: $- Output: $- Audio Input: $- Output: $- |
| GPT-4o-Audio-Preview-2024-12-17-US/EU – Data Zones |
Text Input: $- Output: $- Audio Input: $- Output: $- |
| GPT-4o-Audio-Preview-2024-12-17-Regional |
Text Input: $- Output: $- Audio Input: $- Output: $- |
| GPT-4o-Mini-Audio-Preview-2024-12-17-Global |
Text Input: $- Output: $- Audio Input: $- Output: $- |
| GPT-4o-Mini-Audio-Preview-2024-12-17-US/EU – Data Zones |
Text Input: $- Output: $- Audio Input: $- Output: $- |
| GPT-4o-Mini-Audio-Preview-2024-12-17-Regional |
Text Input: $- Output: $- Audio Input: $- Output: $- |
GPT-4o
GPT-4o is the most advanced multimodal model that’s faster and cheaper than GPT-4 Turbo with stronger vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| GPT-4o-2024-1120 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4o-2024-1120 US/EU – Data Zones |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4o-2024-1120 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
| GPT-4o-2024-08-06 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4o-2024-08-06 US/EU – Data Zones |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4o-2024-08-06 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
| GPT-4o-2024-0513 Global |
Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4o-2024-0513 US/EU – Data Zones |
Input: $- Output: $- |
N/A |
| GPT-4o-2024-0513 Regional |
Input: $- Output: $- |
N/A |
Plan with the Pricing Calculator
GPT-4o mini
GPT-4o mini is the most cost-efficient small model, and has vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.
| Model | Pricing (1M Tokens) | Pricing with Batch API (1M Tokens) |
|---|---|---|
| GPT-4o-mini-0718 Global |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4o-mini-0718 US/EU – Data Zones |
Input: $- Cached Input: $- Output: $- |
Input: $- Output: $- |
| GPT-4o-mini-0718 Regional |
Input: $- Cached Input: $- Output: $- |
N/A |
Plan with the Pricing Calculator
Provisioned
You can allocate and manage throughput for deployments, ensuring predictable performance and stable capacity. You are charged an hourly rate per model regardless of usage, but you can also secure additional savings through monthly and annual reservations. Discover how to transition your regional deployments and provisioned reservations to global and data zones on this Learn page. To understand if your desired model is available in your specific region for provisioned pricing please visit this Learn page or contact your local sales rep for more details.
| Model | Min PTUs | PTU Hourly pricing | PTU Monthly Reservation Pricing | PTU Yearly Reservation Pricing |
|---|---|---|---|---|
| GPT-5.2 Global | 15 | $- | $- | $- |
| GPT-5.2 Data Zones | 15 | $- | $- | $- |
| GPT-5.2 Regional | 50 | $- | $- | $- |
| GPT-5.1 Codex Global | 15 | $- | $- | $- |
| GPT-5.1 Codex Data Zones | 15 | $- | $- | $- |
| GPT-5.1 Codex Regional | 50 | $- | $- | $- |
| GPT-5.1 Global | 15 | $- | $- | $- |
| GPT-5.1 Data Zones | 15 | $- | $- | $- |
| GPT-5.1 Regional | 50 | $- | $- | $- |
| GPT-5-mini Global | 15 | $- | $- | $- |
| GPT-5-mini Data Zones | 15 | $- | $- | $- |
| GPT-5-mini Regional | 50 | $- | $- | $- |
| GPT-5 Global | 15 | $- | $- | $- |
| GPT-5 Data Zones | 15 | $- | $- | $- |
| GPT-5 Regional | 50 | $- | $- | $- |
| GPT-4.1 Global | 15 | $- | $- | $- |
| GPT-4.1 Data Zones | 15 | $- | $- | $- |
| GPT-4.1 Regional | 50 | $- | $- | $- |
| GPT-4.1-mini Global | 15 | $- | $- | $- |
| GPT-4.1-mini US/EU Data Zones | 15 | $- | $- | $- |
| GPT-4.1-mini Regional | 25 | $- | $- | $- |
| GPT-4.1-nano Global | 15 | $- | $- | $- |
| GPT-4.1-nano US/EU Data Zones | 15 | $- | $- | $- |
| GPT-4.1-nano Regional | 25 | $- | $- | $- |
| o3-mini Global | 15 | $- | $- | $- |
| o3-mini US/EU Data Zones | 15 | $- | $- | $- |
| o3-mini Regional | 25 | $- | $- | $- |
| o3 Global | 15 | $- | $- | $- |
| o3 US/EU Data Zones | 15 | $- | $- | $- |
| o3 Regional | 50 | $- | $- | $- |
| o4-mini Global | 15 | $- | $- | $- |
| o4-mini US/EU Data Zones | 15 | $- | $- | $- |
| o4-mini Regional | 25 | $- | $- | $- |
| GPT-4o Global | 15 | $- | $- | $- |
| GPT-4o US/EU Data Zones | 15 | $- | $- | $- |
| GPT-4o Regional | 50 | $- | $- | $- |
| Fine-Tuned GPT-4o-Regional | 50 | $- | $- | $- |
| GPT-4o Mini Global | 15 | $- | $- | $- |
| GPT-4o Mini US/EU Data Zones | 15 | $- | $- | $- |
| GPT-4o Mini Regional | 25 | $- | $- | $- |
| Fine-Tuned GPT-4o-Mini Regional | 25 | $- | $- | $- |
Plan with the Pricing Calculator
Base models
| Models | Usage per 1,000 tokens |
|---|---|
| Babbage-002 | $- |
| Davinci-002 | $- |
Fine-tuning models
| Model | Pricing | |
|---|---|---|
| o4-mini (Reinforcement fine-tuning) | Regional |
Input: $-/1M tokens Output: $-/1M tokens Training: $-/hour Hosting: $-/hour Grader input: GPT-4o: $-/1M tokens o3-mini: $-/1M tokens Grader cached input: GPT-4o: $-/1M tokens o3-mini: $-/1M tokens Grader output: GPT-4o: $-/1M tokens o3-mini: $-/1M tokens |
| Global |
Input: $-/1M tokens Output: $-/1M tokens Training: $-/hour Hosting: $-/hour Grader input: GPT-4o: $-/1M tokens o3-mini: $-/1M tokens Grader cached input: GPT-4o: $-/1M tokens o3-mini: $-/1M tokens Grader output: GPT-4o: $-/1M tokens o3-mini: $-/1M tokens |
|
| Developer |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/hour |
|
| GPT-4.1 | Regional |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
| Global |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
|
| Developer |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens |
|
| GPT-4.1-mini | Regional |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
| Global |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
|
| Developer |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens |
|
| GPT-4.1-nano | Regional |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
| Global |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
|
| Developer |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens |
|
| GPT-4o-2024-08-06 | Regional |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
| Global |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
|
| Developer |
Training: $-/1M tokens |
|
| GPT-4o-mini | Regional |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
| Global |
Input: $-/1M tokens Cached Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
|
| Developer |
Training: $-/1M tokens |
|
| GPT-3.5-Turbo (16K) | Regional |
Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
| GPT OSS 20B | Regional |
Input: $-/1M tokens Output: $-/1M tokens Training: $-/1M tokens Hosting: $-/hour |
Image models
| Models | Quality | Resolution | Price (per 100 images) |
|---|---|---|---|
| Dall-E-3 | Standard | 1024 * 1024 | $- |
| Standard | 1024 * 1792, 1792 * 1024 |
$- | |
| Dall-E-3 | HD | 1024 * 1024 | $- |
| HD | 1024 * 1792, 1792 * 1024 |
$- | |
| Dall-E-2 | Standard | 1024 * 1024 | $- |
Embedding models
| Models | Per 1,000 tokens |
|---|---|
| Ada | $- |
| Ada DataZone | $- |
| text-embedding-3-large | $- |
| text-embedding-3-large DataZone | $- |
| text-embedding-3-small | $- |
| text-embedding-3-small DataZone | $- |
Speech Models
| Models | Price |
|---|---|
| Whisper | $-/hour |
| TTS (Text to Speech) | $-/1M characters |
| TTS HD | $-/1M characters |
Legacy Language Models
| Models | Context | Input (Per 1M Tokens) | Output (Per 1M Tokens) |
|---|---|---|---|
| GPT-3.5-Turbo-0301 | 4K | $- | $- |
| GPT-3.5-Turbo-0613 | 4K | $- | $- |
| GPT-3.5-Turbo-0613 | 16K | $- | $- |
| GPT-3.5-Turbo-1106 | 16K | $- | $- |
| GPT-3.5-Turbo-0125 | 16K | $- | $- |
| GPT-3.5-Turbo-Instruct | 4K | $- | $- |
| GPT-4-Turbo | 128K | $- | $- |
| GPT-4-Turbo-Vision | 128K | $- | $- |
| GPT-4 | 8K | $- | $- |
| GPT-4 | 32K | $- | $- |
Azure 定价和购买选项
其他资源
Azure OpenAI 服务
详细了解 Azure OpenAI 服务 特性和功能。
定价计算器
估计每月使用任何 Azure 产品组合应产生的费用。
SLA
查看 Azure OpenAI 服务 的服务级别协议。
文档
查看技术教程、视频和更多 Azure OpenAI 服务 资源。
常见问题解答
-
Azure OpenAI Service offers pricing based on both Pay-As-You-Go and Provisioned Throughput Units (PTUs). Pay-As-You-Go allows you to pay for the resources you consume, making it flexible for variable workloads. PTUs offers a predictable pricing model where you reserve and deploy a specific amount of model processing capacity. This model is ideal for workloads with consistent or predictable usage patterns, providing stability and cost control.
-
To learn more about PTUs and Azure OpenAI pricing please read PTU documentation or contact our sales specialist.
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