Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
DeepSeek-V3.2-Exp
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.
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
8 months newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 1.5B
DeepSeek-V3.2-Exp
Average performance across 16 common benchmarks
DeepSeek R1 Distill Qwen 1.5B
DeepSeek-V3.2-Exp
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 1.5B
DeepSeek-V3.2-Exp
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 1.5B
DeepSeek-V3.2-Exp
Novita
ZeroEval
DeepSeek R1 Distill Qwen 1.5B
DeepSeek-V3.2-Exp