Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 37.1% higher average benchmark score. GPT-5 nano offers 388.7K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. 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.
10 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 18 common benchmarks
GPT-5 nano
Qwen2.5 7B Instruct
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Qwen2.5 7B Instruct
GPT-5 nano
Qwen2.5 7B Instruct
Qwen2.5 7B Instruct
Together