Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
Alibaba / Qwen
Qwen2.5-14B-Instruct is a 14-billion-parameter language model from Alibaba released in September 2024 within the Qwen2.5 family, occupying the mid-tier of the series between efficiency-focused small models and the high-capability 72B flagship. Trained on 18 trillion tokens with emphasis on instruction alignment, code understanding, and multilingual reasoning, it offers a strong performance-to-compute ratio for developers who need more capability than 7B but cannot serve 32B or larger models. The model supports 128K context windows and structured output generation out of the box.
10 months newer
Qwen2.5 14B Instruct
Alibaba / Qwen
2024-09-19

GPT-OSS-20B
OpenAI
2025-08-05
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-20B
Hugging Face
Qwen2.5 14B Instruct
GPT-OSS-20B
Qwen2.5 14B Instruct
GPT-OSS-20B
Qwen2.5 14B Instruct