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

Qwen2 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2 72B Instruct

Alibaba

2024-07-23

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

6 months newer

Average performance across 1 common benchmarks

Google

Gemini 2.0 Flash Thinking

+31.8%
Average Score:74.2%
Alibaba

Qwen2 72B Instruct

Average Score:42.4%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
+5.9%
73.8%
Alibaba

Qwen2 72B Instruct

general
67.9%
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

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

Qwen2 72B Instruct

0 providers
Google

Gemini 2.0 Flash Thinking

+31.8%
Avg Score:74.2%
Providers:0
Alibaba

Qwen2 72B Instruct

Avg Score:42.4%
Providers:0