Comprehensive side-by-side LLM comparison
GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
Alibaba / Qwen
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
10 months newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07

GPT-4.1 mini
OpenAI
2025-04-14
Context window and performance specifications
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
Qwen2 72B Instruct
GPT-4.1 mini
Qwen2 72B Instruct
GPT-4.1 mini
Qwen2 72B Instruct