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 7B Instruct
Alibaba
Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct
Alibaba
2024-07-23
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Qwen2 7B Instruct
Average performance across 6 common benchmarks

Gemini 1.5 Flash

Qwen2 7B Instruct
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Qwen2 7B Instruct
Gemini 1.5 Flash
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Qwen2 7B Instruct

Gemini 1.5 Flash

Qwen2 7B Instruct