Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 12.7% higher average benchmark score. GPT-4.1 mini offers 941.1K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $1.40 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 mini
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 41 common benchmarks
GPT-4.1 mini
Qwen2.5 7B Instruct
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
Qwen2.5 7B Instruct
GPT-4.1 mini
Qwen2.5 7B Instruct
Qwen2.5 7B Instruct
Together