Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 58.8% higher average benchmark score. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
7 months newer
Gemini 1.5 Pro
2024-05-01
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Context window and performance specifications
Average performance across 25 common benchmarks
Gemini 1.5 Pro
QvQ-72B-Preview
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
QvQ-72B-Preview
Gemini 1.5 Pro
QvQ-72B-Preview
Gemini 1.5 Pro
QvQ-72B-Preview