Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Qwen2.5 72B Instruct
Alibaba
Qwen2.5 72B Instruct is a language model developed by Alibaba. 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%). The model shows particular specialization in math tasks with an average performance of 89.5%. 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's latest advancement in AI technology.
Qwen2.5 72B Instruct
Alibaba
2024-09-19
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
4 months newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 7B
Qwen2.5 72B Instruct
Average performance across 2 common benchmarks
DeepSeek R1 Distill Qwen 7B
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 7B
Qwen2.5 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 7B
Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
DeepSeek R1 Distill Qwen 7B
Qwen2.5 72B Instruct