Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 43.5% higher average benchmark score. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M 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 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.
5 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 2.5 Pro Preview 06-05
QvQ-72B-Preview
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
QvQ-72B-Preview
Gemini 2.5 Pro Preview 06-05
QvQ-72B-Preview
Gemini 2.5 Pro Preview 06-05
QvQ-72B-Preview