Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 20.8% higher average benchmark score. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 Flash-Lite
2025-06-17
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 2.5 Flash-Lite
QvQ-72B-Preview
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
QvQ-72B-Preview
Gemini 2.5 Flash-Lite
QvQ-72B-Preview
Gemini 2.5 Flash-Lite
QvQ-72B-Preview