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.

Qwen2.5 32B Instruct
Alibaba
Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 32B Instruct
Alibaba
2024-09-19

Gemini 2.0 Flash Thinking
2025-01-21
4 months newer
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Qwen2.5 32B Instruct
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Qwen2.5 32B Instruct
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Qwen2.5 32B Instruct

Gemini 2.0 Flash Thinking

Qwen2.5 32B Instruct