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What is gpt-oss-120b?

gpt-oss-120b is a reasoning model focused solely on text, boasting 120 billion parameters, and is released under the Apache 2.0 license while adhering to OpenAI’s usage policies; it has been developed with contributions from the open-source community and is compatible with the Responses API. This model excels at executing instructions and utilizes various tools, including web searches and Python code execution, which allows for a customizable level of reasoning effort and results in detailed chain-of-thought outputs that can seamlessly fit into different workflows. Although it is constructed to comply with OpenAI's safety policies, its open-weight nature poses a risk, as adept users might modify it to bypass these protections, thereby prompting developers and organizations to implement additional safety measures akin to those of managed models. Assessments reveal that gpt-oss-120b falls short of high performance in specialized fields such as biology, chemistry, or cybersecurity, even after attempts at adversarial fine-tuning. Moreover, its introduction does not represent a substantial advancement in biological capabilities, indicating a cautious stance regarding its use. Consequently, it is advisable for users to stay alert to the potential risks associated with its open-weight attributes, and to consider the implications of its deployment in sensitive environments. As awareness of these factors grows, the community's approach to managing such technologies will evolve and adapt.

What is GPT-5.2 Thinking?

The Thinking variant of GPT-5.2 stands as the highest achievement in OpenAI's GPT-5.2 series, meticulously crafted for thorough reasoning and the management of complex tasks across a diverse range of professional fields and elaborate contexts. Key improvements to the foundational GPT-5.2 framework enhance aspects such as grounding, stability, and overall reasoning quality, enabling this iteration to allocate more computational power and analytical resources to generate responses that are not only precise but also well-organized and rich in context, particularly useful when navigating intricate workflows and multi-step evaluations. With a strong emphasis on maintaining logical coherence, GPT-5.2 Thinking excels in comprehensive research synthesis, sophisticated coding and debugging, detailed data analysis, strategic planning, and high-caliber technical writing, offering a notable advantage over simpler models in scenarios that assess professional proficiency and deep knowledge. This cutting-edge model proves indispensable for experts aiming to address complex challenges with a high degree of accuracy and skill. Ultimately, GPT-5.2 Thinking redefines the capabilities expected in advanced AI applications, making it a valuable asset in today's fast-evolving professional landscape.

Media

Media

Integrations Supported

AiAssistWorks
Brokk
Microsoft Foundry
OpenAI
Python
Nebius Token Factory
PyGPT

Integrations Supported

AiAssistWorks
Brokk
Microsoft Foundry
OpenAI
Python
Augment Code
CSS
ChatGPT
Devin
Doraverse
Java
Kineto by JetBrains
Microsoft 365 Copilot
Microsoft 365 Copilot Chat
Microsoft Teams
Node.js
Rust
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/gpt-oss-model-card/

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

Categories and Features

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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