Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.5 Flash 8B
Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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.

Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Gemini 1.5 Flash 8B
2024-03-15

Gemma 2 27B
2024-06-27
3 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash 8B

Gemma 2 27B
Average performance across 1 common benchmarks

Gemini 1.5 Flash 8B

Gemma 2 27B
Performance comparison across key benchmark categories

Gemini 1.5 Flash 8B

Gemma 2 27B
Gemini 1.5 Flash 8B
2024-10-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash 8B

Gemma 2 27B

Gemini 1.5 Flash 8B

Gemma 2 27B