GPT-OSS 120B: Arena CEO on Strengths, Weaknesses, and Top Use Cases

GPT-OSS is one of the most-used models by Cerebras customers. Here's why. We sat down with Anastasios, CEO and co-founder of Arena to break down where GPT-OSS shines, how it compares to larger open-source models, and what real-world usage data reveals about its strengths. GPT-OSS vs. Larger Open-Source Models: While frontier open-source models like GLM 4.7 offer more parameters, GPT-OSS hits a sweet spot for users who need speed and efficiency without sacrificing performance on technical tasks—especially when running on optimized inference infrastructure. Why did OpenAI release an open-source model? "If you're not releasing an open source model, you're losing out on a part of the market." Users want more control, easier integration into agentic pipelines, and the flexibility that open-source provides. +++ Subscribe to our channel! https://www.youtube.com/@Cerebras Cerebras builds the world’s largest AI chip — delivering up to 20× faster inference than leading GPUs. Our mission is to engineer the future of compute and make state-of-the-art AI accessible to every team. Explore our newest open-source models and get free compute at http://cerebras.ai/ . Watch our full video library: https://youtube.com/@Cerebras/videos Read the latest engineering deep dives on our blog: https://cerebras.ai/blog Explore our systems and technology: https://cerebras.ai/publications Follow Cerebras on X: https://x.com/cerebras Connect with us on LinkedIn: https://linkedin.com/company/cerebras-systems