Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 2.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
Gemini 1.5 Pro
2024-05-01
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Context window and performance specifications
Average performance across 45 common benchmarks
Gemini 1.5 Pro
Qwen2.5 VL 32B Instruct
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Qwen2.5 VL 32B Instruct
Gemini 1.5 Pro
Qwen2.5 VL 32B Instruct
Gemini 1.5 Pro
Qwen2.5 VL 32B Instruct