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.

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.

Gemini 1.5 Flash 8B
2024-03-15

Gemini 1.5 Flash
2024-05-01
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Flash

Gemini 1.5 Flash 8B
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Gemini 1.5 Flash 8B
Average performance across 13 common benchmarks

Gemini 1.5 Flash

Gemini 1.5 Flash 8B
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Gemini 1.5 Flash 8B
Gemini 1.5 Flash
2023-11-01
Gemini 1.5 Flash 8B
2024-10-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Gemini 1.5 Flash 8B

Gemini 1.5 Flash

Gemini 1.5 Flash 8B