Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 15.8% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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.
4 months newer
Gemini 1.5 Pro
2024-05-01
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Context window and performance specifications
Average performance across 36 common benchmarks
Gemini 1.5 Pro
Qwen2.5-Coder 7B Instruct
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Qwen2.5-Coder 7B Instruct
Gemini 1.5 Pro
Qwen2.5-Coder 7B Instruct
Gemini 1.5 Pro
Qwen2.5-Coder 7B Instruct