OpenAI gpt-5-chat (preview)
Version: 2025-10-03
gpt-5-chat (preview) enables natural, multimodal, multi-turn conversations that remain context-aware throughout agentic workflows.
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.
gpt-5-chat Upgrade Summary (08-07-2025 → 10-03-2025)
The latest gpt-5-chat release introduces a significant enhancement focused on emotional intelligence (R) and mental health (MH) capabilities. This upgrade integrates specialized datasets and refined response strategies to improve the model’s ability to:- Understand and interpret emotional context more accurately, enabling nuanced and empathetic interactions.
- Provide supportive, responsible responses in conversations related to mental health, ensuring sensitivity and adherence to best practices.
Key Capabilities
- Advanced, natural, multimodal, and context-aware conversations for enterprise applications.
- Supports multi-personality, search, bio, image generation, Canvas, contextual answers.
- Supports new "allowed tools" tool choice that enables you to specify multiple tools in the tool choice instead of just one
Model Variants
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.
Model provider
This model is provided through the Azure OpenAI Service.Relevant documents
The following documents are applicable:- Overview of Responsible AI practices for Azure OpenAI models
- Transparency Note for Azure OpenAI Service
Safety
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 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 Index0.85
LicenseCustom
Training DataOctober 2024
Last UpdatedOctober 2025
Input TypeText,Image
Output TypeText
PublisherOpenAI
Languages1 Language
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