OpenAI o1
Version: 2024-12-17
Azure Direct Models
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all as part of one Azure AI Foundry platform.
- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Azure AI Foundry; reducing integration effort.
- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.
Key capabilities
About this model
The o1 series models are specifically designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, math and similar fields.Key model capabilities
- o1 adds advanced image analysis capabilities with the new version. Enhance your prompts and context with images for additional insights.
- Complex Code Generation: Capable of generating algorithms and handling advanced coding tasks to support developers.
- Advanced Problem Solving: Ideal for comprehensive brainstorming sessions and addressing multifaceted challenges.
- Complex Document Comparison: Perfect for analyzing contracts, case files, or legal documents to identify subtle differences.
- Instruction Following and Workflow Management: Particularly effective for managing workflows requiring shorter contexts.
- Developer message replaces system message
- Reasoning effort as in
high,medium, andlow. It controls whether the model thinks "less" or "more" in terms of applying cognitive reasoning. - Vision input, structured outputs, and tools.
o4-mini: The most efficient reasoning model in the o model series, well suited for agentic solutions. Now generally available.o3: The most capable reasoning model in the o model series, and the first one to offer full tools support for agentic solutions. Now generally available.o3-mini: A faster and more cost-efficient option in the o3 series, ideal for coding tasks requiring speed and lower resource consumption.o1: The most capable model in the o1 series, offering enhanced reasoning abilities. Now generally available.o1-mini: A faster and more cost-efficient option in the o1 series, ideal for coding tasks requiring speed and lower resource consumption.
Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
For example, o1 can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows.Out of scope use cases
o1 model does not include all the features available in other models. OpenAI has incorporated additional safety measures into the o1 models, including new techniques to help the models refuse unsafe requests. These advancements make the o1 series some of the most robust models available. OpenAI measures safety is by testing how well models continue to follow its safety rules if a user tries to bypass them (known as "jailbreaking"). In OpenAI's internal tests, GPT-4o scored 22 (on a scale of 0-100) while o1-preview model scored 84. You can read more about this in the OpenAI's system card and research post .Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
The provider has not supplied this information.Training cut-off date
The provider has not supplied this information.Training time
The provider has not supplied this information.Input formats
o1 adds advanced image analysis capabilities with the new version. Enhance your prompts and context with images for additional insights.Output formats
Features and properties supported in o1 GA model include structured outputs.Supported languages
The provider has not supplied this information.Sample JSON response
The provider has not supplied this information.Model architecture
The provider has not supplied this information.Long context
The provider has not supplied this information.Optimizing model performance
Features and properties supported in o1 GA model include reasoning effort as inhigh, medium, and low. It controls whether the model thinks "less" or "more" in terms of applying cognitive reasoning.
Additional assets
The following documents are applicable:- Overview of Responsible AI practices for Azure OpenAI models
- Transparency Note for Azure OpenAI Service
Training disclosure
Training, testing and validation
The provider has not supplied this information.Distribution
Distribution channels
This model is provided through the Azure OpenAI Service.More information
The provider has not supplied this information.Responsible AI considerations
Safety techniques
OpenAI has incorporated additional safety measures into the o1 models, including new techniques to help the models refuse unsafe requests. These advancements make the o1 series some of the most robust models available.Safety evaluations
OpenAI measures safety is by testing how well models continue to follow its safety rules if a user tries to bypass them (known as "jailbreaking"). In OpenAI's internal tests, GPT-4o scored 22 (on a scale of 0-100) while o1-preview model scored 84. You can read more about this in the OpenAI's system card and research post .Known limitations
o1 model does not include all the features available in other models.Acceptable use
Acceptable use policy
The provider has not supplied this information.Quality and performance evaluations
Source: OpenAI The provider has not supplied this information.Benchmarking methodology
Source: OpenAI The provider has not supplied this information.Public data summary
Source: OpenAI OpenAI measures safety is by testing how well models continue to follow its safety rules if a user tries to bypass them (known as "jailbreaking"). In OpenAI's internal tests, GPT-4o scored 22 (on a scale of 0-100) while o1-preview model scored 84. You can read more about this in the OpenAI's system card and research post .Model Specifications
Context Length200000
Quality Index0.87
LicenseCustom
Training DataSeptember 2023
Last UpdatedNovember 2025
Input TypeText,Image
Output TypeText
ProviderOpenAI
Languages27 Languages
Related Models