Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 2025, it represents DeepSeek's latest advancement in AI technology.
Qwen2.5-Coder 7B Instruct
Alibaba
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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-Coder 7B Instruct
Alibaba
2024-09-19
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
4 months newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 32B
Qwen2.5-Coder 7B Instruct
Average performance across 1 common benchmarks
DeepSeek R1 Distill Qwen 32B
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 32B
Qwen2.5-Coder 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Qwen2.5-Coder 7B Instruct
DeepSeek R1 Distill Qwen 32B
Qwen2.5-Coder 7B Instruct