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What is GPT-OSS?

GPT-OSS is OpenAI's flagship open source model, built on a Mixture-of-Experts (MoE) architecture. GPT-OSS series designed for powerful reasoning, agentic tasks, and versatile developer use cases.

As of now, GPT-OSS has two main models:

Frequently Asked Questions (FAQ)

What is GPT-OSS?
GPT-OSS is OpenAI's open-source suite of models designed for high-level reasoning, agentic tasks, and versatile developer applications. It marks OpenAI’s official entry into the open-source AI race alongside projects like DeepSeek and LLaMA.
Can I use GPT-OSS online?
Yes, GPT-OSS can be used online for free, without login, and without any limitations at MiniToolAI.
Where can I download the GPT-OSS model?
If your computer meets the hardware requirements, you can download and run GPT-OSS locally. Visit the official GitHub repository for system requirements and download links: https://github.com/openai/gpt-oss.
How many parameters does GPT-OSS have?
GPT-OSS includes two models:
  • gpt-oss-120b: 117 billion parameters (5.1B active). Ideal for high-reasoning, general-purpose tasks and production workloads. Fits on a single H100 GPU.
  • gpt-oss-20b: 21 billion parameters (3.6B active). Optimized for low latency and local or specialized use cases.
How does GPT-OSS compare to o3 and o4?
GPT-OSS delivers comparable performance to OpenAI's o3 and o4 models and even surpasses o1 and GPT-4o in certain reasoning tasks.
Is GPT-OSS free?
GPT-OSS is open-source and free to use. However, running the model locally requires powerful hardware, which may incur a cost. For users without high-end machines, GPT-OSS is available for free online via MiniToolAI.
Does GPT-OSS support streaming output?
Yes, GPT-OSS supports streaming responses for real-time interaction and faster feedback.
Is GPT-OSS developer-friendly?
Absolutely. Developers can fine-tune and customize GPT-OSS for specific use cases and integrate it into various workflows.
Does GPT-OSS provide reasoning content?
Yes, GPT-OSS returns detailed reasoning content in its responses, specifically under choices[0].delta.reasoning.

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