Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
8 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12

GPT-OSS-120B
OpenAI
2025-08
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-120B
Hugging Face
Qwen2.5-Coder 7B Instruct
GPT-OSS-120B
Qwen2.5-Coder 7B Instruct
GPT-OSS-120B
Qwen2.5-Coder 7B Instruct