Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 15.0% higher average benchmark score. DeepSeek-R1-0528 offers 6.1K more tokens in context window than Qwen3 32B. Qwen3 32B is $2.25 cheaper per million tokens. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K 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 DeepSeek's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). 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 Cloud / Qwen Team's latest advancement in AI technology.
29 days newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Qwen3 32B
Context window and performance specifications
Average performance across 21 common benchmarks
DeepSeek-R1-0528
Qwen3 32B
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Qwen3 32B
DeepSeek-R1-0528
Qwen3 32B
Qwen3 32B
DeepInfra
Novita
Sambanova