Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Qwen2.5-Coder 7B Instruct
Alibaba
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Qwen2.5-Coder 7B Instruct
Alibaba
2024-09-19
GPT-4.1 nano
OpenAI
2025-04-14
6 months newer
Performance Metrics
Context window and performance specifications
GPT-4.1 nano
Qwen2.5-Coder 7B Instruct
Average performance across 1 common benchmarks
GPT-4.1 nano
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
GPT-4.1 nano
Qwen2.5-Coder 7B Instruct
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Qwen2.5-Coder 7B Instruct
GPT-4.1 nano
Qwen2.5-Coder 7B Instruct