Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 4.7% higher average benchmark score. DeepSeek-R1-0528 offers 122.9K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $1.90 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 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 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.
8 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Qwen2.5 72B Instruct
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek-R1-0528
Qwen2.5 72B Instruct
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Qwen2.5 72B Instruct
DeepSeek-R1-0528
Qwen2.5 72B Instruct
Qwen2.5 72B Instruct
DeepInfra
Fireworks
Hyperbolic
Together