OpenAI Releases First Open-Weight AI Models Since GPT-2
OpenAI introduces gpt-oss-120b and gpt-oss-20b, marking a shift towards open-weight AI models available for free download.
OpenAI has unveiled its first open-weight AI models in over five years, gpt-oss-120b and gpt-oss-20b, signaling a strategic shift towards more accessible AI tools. These models, available for free download on Hugging Face, can run locally on consumer devices and be fine-tuned for specific purposes.
Key Features of gpt-oss Models
- Open-Weights: The models' internal parameters are publicly available, allowing users to understand how they process information.
- Local Execution: Unlike ChatGPT, gpt-oss models can operate offline and behind firewalls.
- Chain-of-Thought Reasoning: Borrowed from OpenAI's proprietary o1 model, this approach enables step-by-step problem-solving.
- Functionality: While text-only, the models can browse the web, execute code, and act as AI agents.
Licensing and Safety
The models are released under the Apache 2.0 license, permitting commercial use and redistribution. OpenAI conducted extensive safety testing, including internal fine-tuning to assess potential misuse risks. According to safety researcher Eric Wallace, the models did not exhibit high-risk behaviors in tests.
Performance and Competition
OpenAI claims gpt-oss-120b performs comparably to its proprietary o3 and o4-mini models, even outperforming them in some benchmarks. The release positions OpenAI against rivals like Meta, which has dominated the open-weight space with its Llama series. Meta, however, may pivot away from open-source models due to safety concerns.
Strategic Implications
CEO Sam Altman emphasized OpenAI's mission to democratize AI, stating, "We are excited for the world to be building on an open AI stack created in the United States." The release also intensifies the ongoing AI talent war between tech giants.
For more details, check the model card.
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About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.