OpenAI’s Opensource OSS 120B & 20B (Fully Tested)

OpenAI Just Went Open-Weight!
In this video, we dive deep into OpenAI’s brand-new OSS model family – GPT‑OSS 120B and GPT‑OSS 20B – two advanced, open-weight language models built for real-world reasoning tasks.

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[Link’s Used]:
Github Repo: https://github.com/openai/gpt-oss
Blog Post: https://openai.com/index/introducing-gpt-oss/
HuggingFace Model Card: https://huggingface.co/collections/openai/gpt-oss-68911959590a1634ba11c7a4
Ollama: https://ollama.com/search
LMStudio: https://lmstudio.ai/blog/gpt-oss
OpenRouter: https://openrouter.ai/

We explore what these models are capable of, how they were trained, their strengths & weaknesses, and how they compare to existing models like LLaMA 3, DeepSeek, and even OpenRouter’s mysterious “Horizon.”

What’s inside:
Full breakdown of GPT-OSS 120B vs 20B
Training data, architecture, reasoning ability
Performance benchmarks (Codeforces, HealthBench, etc.)
Tool use & chain-of-thought capabilities
Our hands-on testing with tough prompts
Why this isn’t the Horizon model… unfortunately
Final verdict: Should you use OSS?

Whether you’re an AI developer, ML researcher, or just an enthusiast—this OSS drop is huge. Let’s see how far OpenAI has really opened up.

Don’t forget to like, subscribe, and drop your thoughts in the comments!
Let me know what model you want me to test next.

Tags (comma-separated):
openai, openai oss, gpt-oss 120b, gpt-oss 20b, open source ai, huggingface models, llama 3, deepseek coder, mistral ai, openai vs meta, gpt oss benchmark, chain of thought, openai model comparison, openrouter ai, horizon model, openai releases, ai model testing, ai reasoning benchmark, local llm, run ai locally, apache 2.0 models, mixture of experts