OpenAI gpt-5
Version: 2025-08-07
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Key capabilities
About this model
This model is provided through the Azure OpenAI Service.Key model capabilities
- Designed for logic-heavy and multi-step tasks.
- Now supporting minimal reasoning, a new verbosity setting, and the "customs" tool for raw text output.
- New "allowed tools" tool choice that enables you to specify multiple tools in the tool choice instead of just one
- New "preamble" support, allowing the model to "think" before calling a tool. This is always enabled and controlled through prompting.
- gpt-5 supports multimodal inputs, real-time streaming and full tool support for smarter, more dynamic user experiences
Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
gpt-5 : Designed for logic-heavy and multi-step tasks.gpt-5-mini : A lightweight version for cost-sensitive applications.
gpt-5-nano : Optimized for speed, ideal for applications requiring low latency.
gpt-5-chat : Advanced, natural, multimodal, and context-aware conversations for enterprise applications.
Out of scope use cases
OpenAI has incorporated additional safety measures 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
gpt-5 supports multimodal inputs.Output formats
Now supporting minimal reasoning, a new verbosity setting, and the "customs" tool for raw text output.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
The provider has not supplied this information.Additional assets
The provider has not supplied this information.Training disclosure
Training, testing and validation
The provider has not supplied this information.Distribution
Distribution channels
The provider has not supplied this information.More information
The following documents are applicable:Responsible AI considerations
Safety techniques
OpenAI has incorporated additional safety measures 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
The provider has not supplied this information.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 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 Index0.91
LicenseCustom
Training DataOctober 2024
Last UpdatedJanuary 2026
Input TypeText,Image
Output TypeText
ProviderOpenAI
Languages1 Language
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