Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o4-mini offers 160.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $4.90 cheaper per million tokens. o4-mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. 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 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
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
o4-mini
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
o4-mini
Qwen2.5 7B Instruct
o4-mini
2024-05-31
Available providers and their performance metrics
o4-mini
OpenAI
Qwen2.5 7B Instruct
o4-mini
Qwen2.5 7B Instruct
o4-mini
Qwen2.5 7B Instruct
Together