Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 39.9% higher average benchmark score. DeepSeek-V3.1 offers 262.1K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $0.92 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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.
1 month newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
QwQ-32B-Preview
Context window and performance specifications
Average performance across 17 common benchmarks
DeepSeek-V3.1
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
QwQ-32B-Preview
DeepSeek-V3.1
QwQ-32B-Preview
DeepSeek-V3.1
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together