Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 30.3% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 days newer
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Gemini 2.0 Flash-Lite
2025-02-05
Context window and performance specifications
Average performance across 41 common benchmarks
Gemini 2.0 Flash-Lite
Qwen2.5 VL 72B Instruct
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Qwen2.5 VL 72B Instruct
Gemini 2.0 Flash-Lite
Qwen2.5 VL 72B Instruct
Gemini 2.0 Flash-Lite
Qwen2.5 VL 72B Instruct