OpenAI Releases GPT‑OSS: Fully Open Models Up to 120B Parameters
🚨 OpenAI Releases GPT‑OSS: Fully Open Models Up to 120B Parameters Date: August 5, 2025 OpenAI has just shaken the AI world again — this time, by launching GPT‑OSS, a family of fully open-weight m...
🚨 OpenAI Releases GPT‑OSS: Fully Open Models Up to 120B Parameters
Date: August 5, 2025
OpenAI has just shaken the AI world again — this time, by launching GPT‑OSS, a family of fully open-weight models with parameter counts up to 120B. This is OpenAI's first open-weight release since GPT‑2 in 2019, and it's already trending across developer communities and platforms.
What Is GPT‑OSS?
GPT‑OSS comes in two major variants:
- gpt‑oss‑120B: A high-performance, mixture-of-experts model that can run efficiently on a single 80 GB GPU, matching OpenAI’s
o4‑miniin benchmark quality. - gpt‑oss‑20B: A smaller, yet powerful version optimized for systems with just 16 GB memory, delivering performance similar to
o3‑mini.
Both models are released under the Apache 2.0 license, meaning developers can freely download, fine-tune, and deploy them for commercial or personal use — a significant shift in OpenAI’s previously closed-weight policy.
Key Technical Highlights
- Mixture of Experts (MoE): GPT‑OSS 120B uses 128 experts per layer, but only 4 are active per token, making inference both efficient and powerful.
- Supports Chain-of-Thought, Tool Use, and Structured Output: These models handle reasoning tasks and complex tool interaction workflows exceptionally well.
- High Safety Standards: OpenAI evaluated GPT‑OSS using its internal Preparedness Framework with external review, ensuring the model is safe for public release.
Partnerships & Deployments
OpenAI also partnered with platforms including:
- Hugging Face
- Amazon Bedrock & SageMaker
- vLLM
- llama.cpp, Ollama, and others
Amazon has already announced GPT‑OSS availability via Amazon Bedrock, claiming up to 3× better cost efficiency than Meta’s Gemini and 5× better than DeepSeek-R1.
Why This Matters
With GPT‑OSS, OpenAI is empowering developers who prioritize:
- On-device inference
- Cost control and privacy
- Custom fine-tuning and deployment freedom
This move puts OpenAI in direct competition with other open-weight models like Meta’s LLaMA and Mistral, marking a major strategic pivot back toward openness.
Official Announcements & References
- OpenAI Official Announcement
- Reuters Coverage
- Axios Tech News
- Times of India: Amazon GPT‑OSS Hosting
Conclusion
This release is not just about performance — it's about giving control back to developers. OpenAI’s GPT‑OSS could redefine the balance between open AI research and commercial productization. If you’ve been waiting for powerful, open, production-ready models to use in your apps, this is your moment.
Stay tuned on Tech Ahmed for benchmarks, tutorials, and deployment guides coming soon!

Tech Ahmed
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