Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1-0528
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Qwen3 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.
Qwen3 32B
Alibaba
2025-04-29
DeepSeek-R1-0528
DeepSeek
2025-05-28
29 days newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1-0528
Qwen3 32B
Performance Metrics
Context window and performance specifications
DeepSeek-R1-0528
Qwen3 32B
Average performance across 3 common benchmarks
DeepSeek-R1-0528
Qwen3 32B
Performance comparison across key benchmark categories
DeepSeek-R1-0528
Qwen3 32B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
Novita
DeepSeek
Qwen3 32B
Sambanova
DeepInfra
Novita
DeepSeek-R1-0528
Qwen3 32B