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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google'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.

Gemini 2.0 Flash Thinking
2025-01-21

QwQ-32B
Alibaba
2025-03-05
1 month newer
Average performance across 2 common benchmarks

Gemini 2.0 Flash Thinking

QwQ-32B
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

QwQ-32B
Gemini 2.0 Flash Thinking
2024-08-01
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

QwQ-32B

Gemini 2.0 Flash Thinking

QwQ-32B