OpenAI: gpt-oss-120b

OpenAI's gpt-oss-120b, an open-weight 117B-parameter MoE model, demonstrates competitive performance across various benchmarks. It exhibits competitive response times, ranking in the 57th percentile for speed, and offers competitive pricing, placing in the 59th percentile. Notably, the model boasts exceptional reliability with a 97% success rate, indicating consistent and usable responses. The model excels in several key areas. It achieves high accuracy in Coding (93.0%, 90th percentile), standing out as the most accurate model at its price point. General Knowledge (99.5%, 82nd percentile) and Mathematics (94.0%, 91st percentile) also show strong performance. Its Reasoning capabilities are robust (96.0%, 89th percentile), and it demonstrates excellent Email Classification (99.0%, 88th percentile). Furthermore, gpt-oss-120b shows good performance in mitigating hallucinations (98.0% accuracy). However, there are areas for improvement. Instruction Following accuracy is moderate (46.0%, 45th percentile), suggesting potential limitations with complex, multi-layered instructions. Its performance in Keyword Topic Relevance Classification (70.0%, 30th percentile) and Ethics (93.8%, 27th percentile) is comparatively lower, indicating these might be areas for further optimization. Despite these, its overall reliability and strong performance in critical reasoning and knowledge-based tasks make it a promising model for high-reasoning and agentic production use cases.