Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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.
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.
4 months newer
Qwen2.5 14B Instruct
Alibaba / Qwen
2024-09-19

o3 mini
OpenAI
2025-01-31
Context window and performance specifications
Available providers and their performance metrics
o3 mini
OpenAI
Qwen2.5 14B Instruct
o3 mini
Qwen2.5 14B Instruct
o3 mini
Qwen2.5 14B Instruct