Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 4.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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 Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
27 days newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Gemini 2.0 Flash Thinking
2025-01-21
Average performance across 6 common benchmarks
Gemini 2.0 Flash Thinking
QvQ-72B-Preview
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash Thinking
QvQ-72B-Preview
Gemini 2.0 Flash Thinking
QvQ-72B-Preview