Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek-V3.2-Exp offers 90.1K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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.
1 year newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 25 common benchmarks
DeepSeek-V3.2-Exp
Qwen2.5 7B Instruct
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Qwen2.5 7B Instruct
DeepSeek-V3.2-Exp
Qwen2.5 7B Instruct
DeepSeek-V3.2-Exp
Qwen2.5 7B Instruct
Together