Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

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.

Alibaba

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.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

Alibaba

QwQ-32B

Alibaba

2025-03-05

1 month newer

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash Thinking

+1.4%
Average Score:73.8%
Alibaba

QwQ-32B

Average Score:72.4%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
+3.4%
73.8%
Alibaba

QwQ-32B

general
70.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash Thinking

0 providers
Alibaba

QwQ-32B

0 providers
Google

Gemini 2.0 Flash Thinking

+1.4%
Avg Score:73.8%
Providers:0
Alibaba

QwQ-32B

Avg Score:72.4%
Providers:0