Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 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.
QwQ-32B
Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). 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.
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
6 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.2-Exp
QwQ-32B
Average performance across 19 common benchmarks
DeepSeek-V3.2-Exp
QwQ-32B
Performance comparison across key benchmark categories
DeepSeek-V3.2-Exp
QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
QwQ-32B
DeepSeek-V3.2-Exp
QwQ-32B