Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 19.5% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, Qwen2.5 VL 32B Instruct 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
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
2 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
DeepSeek-R1-0528
DeepSeek
2025-05-28
Context window and performance specifications
Average performance across 42 common benchmarks
DeepSeek-R1-0528
Qwen2.5 VL 32B Instruct
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Qwen2.5 VL 32B Instruct
DeepSeek-R1-0528
Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct