Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 6.2% higher average benchmark score. GPT-4.1 nano offers 941.1K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 providers. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Qwen2.5 72B Instruct
Context window and performance specifications
Average performance across 37 common benchmarks
GPT-4.1 nano
Qwen2.5 72B Instruct
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Qwen2.5 72B Instruct
GPT-4.1 nano
Qwen2.5 72B Instruct
GPT-4.1 nano
Qwen2.5 72B Instruct
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