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.
DeepSeek-V3 0324
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
DeepSeek-V3 0324
DeepSeek
2025-03-25
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3 0324
Average performance across 4 common benchmarks
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3 0324
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3 0324
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
DeepSeek-V3 0324
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3 0324