Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. 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's latest advancement in AI technology.

DeepSeek-R1
DeepSeek
2025-01-20

QwQ-32B
Alibaba
2025-03-05
1 month newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1

QwQ-32B
Average performance across 5 common benchmarks

DeepSeek-R1

QwQ-32B
Performance comparison across key benchmark categories

DeepSeek-R1

QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

QwQ-32B

DeepSeek-R1

QwQ-32B