OpenAI gpt-oss vs Qwen
Which Open Source Model is right for you? See our complete breakdown.
| Feature | OpenAI gpt-oss | Qwen |
|---|---|---|
| MegaOne Score | 3/10 | 9/10 |
| Category | Open Source Model | Open Source Model |
| Pricing Model | Open Source | Freemium |
| Starting Price | Free / Open Source | $0.03/mo |
| Free Tier | Yes | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | OpenAI | Alibaba Group (Alibaba Cloud) |
| Total Funding | $190.6B | $53.0B |
Visual Comparison
About OpenAI gpt-oss
OpenAI gpt-oss is a family of open-weight large language models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
OpenAI gpt-oss is a family of open-weight large language models, including gpt-oss-120b (117B total parameters, 5.1B active) and gpt-oss-20b (21B total parameters, 3.6B active), released under the Apache 2.0 license. These models utilize a Mixture-of-Experts (MoE) architecture and MXFP4 4-bit quantization for efficient deployment on various hardware, excelling in reasoning, tool use, and structured outputs.
About Qwen
A family of large language and multimodal models developed by Alibaba Cloud, offering diverse capabilities for natural language understanding, generation, and agentic tasks.
Qwen is a series of large language and multimodal models from Alibaba Group, designed for natural language understanding, text generation, vision understanding, audio understanding, tool use, and AI agent capabilities. The models feature hybrid reasoning modes, support 119 languages, and can handle long documents. Recent versions like Qwen3.8 Max offer enhanced coding, professional work, and agentic task performance, while Qwen3.8 Flash provides cost-efficiency and serves as a preview for Qwen4's architecture.
Qwen takes the edge
With a MegaOne score of 9/10 versus 3/10, Qwen edges ahead of OpenAI gpt-oss in our analysis. However, OpenAI gpt-oss may still be the better choice depending on your specific use case and budget.