Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o3 mini offers 167.9K more tokens in context window than GPT-OSS-120B. o3 mini is $Infinity cheaper per million tokens. 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.
OpenAI
OpenAI o3 mini, released by OpenAI in January 2025, is a compact reasoning model from the o3 family designed for efficient, cost-effective STEM problem-solving. It features a 200K token context window and adjustable chain-of-thought effort settings, allowing developers to trade reasoning depth for speed. o3 mini targets science, mathematics, and coding applications where lower inference cost and faster response times are a priority.
6 months newer

o3 mini
OpenAI
2025-01-31

GPT-OSS-120B
OpenAI
2025-08
Cost per million tokens (USD)
GPT-OSS-120B
o3 mini
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-OSS-120B
o3 mini
Performance comparison across key benchmark categories
GPT-OSS-120B
o3 mini
Available providers and their performance metrics
GPT-OSS-120B
Hugging Face
o3 mini
GPT-OSS-120B
o3 mini
GPT-OSS-120B
o3 mini
OpenAI