Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 41.9% higher average benchmark score. DeepSeek-V3.2-Exp offers 163.8K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. QwQ-32B-Preview is available on 4 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
QwQ-32B-Preview
Context window and performance specifications
Average performance across 16 common benchmarks
DeepSeek-V3.2-Exp
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
QwQ-32B-Preview
DeepSeek-V3.2-Exp
QwQ-32B-Preview
DeepSeek-V3.2-Exp
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together