Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemini 1.5 Flash
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, it represents Google's latest advancement in AI technology.
Qwen2.5-Coder 7B Instruct
Alibaba
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. 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's latest advancement in AI technology.
Gemini 1.5 Flash
2024-05-01
Qwen2.5-Coder 7B Instruct
Alibaba
2024-09-19
4 months newer
Performance Metrics
Context window and performance specifications
Gemini 1.5 Flash
Qwen2.5-Coder 7B Instruct
Average performance across 6 common benchmarks
Gemini 1.5 Flash
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Gemini 1.5 Flash
Qwen2.5-Coder 7B Instruct
Gemini 1.5 Flash
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics
Gemini 1.5 Flash
Qwen2.5-Coder 7B Instruct
Gemini 1.5 Flash
Qwen2.5-Coder 7B Instruct