Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 9.0% higher average benchmark score. Gemini 2.5 Flash is available on 2 providers. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Gemini 2.5 Flash
2025-05-20
Context window and performance specifications
Average performance across 29 common benchmarks
Gemini 2.5 Flash
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
Qwen2-VL-72B-Instruct
Gemini 2.5 Flash
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct