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# OpenAI debuts GPT-OSS with 120B and 20B parameter models
- URL: https://www.testingcatalog.com/openai-debuts-gpt-oss-with-120b-and-20b-parameter-models/
- Published: 2025-08-05T21:44:35.000Z
- Updated: 2025-08-05T21:44:35.000Z
- Description: Internal benchmarks place the larger model above o3-mini on MMLU, Codeforces, and tool-use evaluations, with the smaller one matching or edging past o3-mini despite its lean footprint.
- Author: Alexey Shabanov
- Tags: ChatGPT News, Latest AI News, AI Announcements

OpenAI jolts the AI landscape with GPT-OSS, its first open-weight language models since GPT-2\. Two variants land: a 120-billion-parameter model that rivals the closed o4-mini while running on a single 80 GB GPU, and a 20-billion-parameter sibling that fits into 16 GB of memory. Both ship under Apache 2.0 and are already mirrored on Hugging Face, AWS, Azure, and Databricks for immediate download.

![Evals](https://storage.ghost.io/c/2a/1b/2a1b1782-8506-4d7d-bf53-ad3fb52e2a0f/content/images/2025/08/GxmpJVvXIAAdKCO.jpeg)

Evals

The Transformer mixture-of-experts design lights up only four experts per token, delivers 128 k context, structured outputs, and function calling, and slots into agent workflows via the Responses API. Internal benchmarks place the larger model above o3-mini on MMLU, Codeforces, and tool-use evaluations, with the smaller one matching or edging past o3-mini despite its lean footprint.

![](https://storage.ghost.io/c/2a/1b/2a1b1782-8506-4d7d-bf53-ad3fb52e2a0f/content/images/2025/08/openai-gpt-oss-120b----Hugging-Face-08-05-2025_07_01_PM.jpg)

Early partners AI Sweden, Orange, and Snowflake are hosting the weights on-prem for data-sensitive workloads and rapid sector-specific fine-tuning. Observers frame the move as OpenAI’s reply to Llama 3 and Mixtral, giving developers a top-tier model they can run locally without licensing fees.

A 50-page system card plus external safety audits accompany the release, detailing CBRN data filtering, adversarial fine-tuning tests, and Preparedness Framework reviews. After years of withholding weights over safety worries, the company reverses course; leadership argues that controlled openness can now coexist with frontier-level reasoning, marking a new chapter in its product strategy.

[Source](https://openai.com/index/introducing-gpt-oss/?ref=testingcatalog.com)