Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Pro is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). 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 Pro
2025-05-20
Context window and performance specifications
Average performance across 31 common benchmarks
Gemini 2.5 Pro
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Qwen2-VL-72B-Instruct
Gemini 2.5 Pro
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct