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-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
DeepSeek-R1
DeepSeek
2025-01-20
0 days newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
DeepSeek-R1
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 32B
DeepSeek-R1
Average performance across 4 common benchmarks
DeepSeek R1 Distill Qwen 32B
DeepSeek-R1
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 32B
DeepSeek-R1
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
DeepSeek R1 Distill Qwen 32B
DeepSeek-R1