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

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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 1.0 Pro
2024-02-15

Gemini 1.5 Flash 8B
2024-03-15
29 days newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.0 Pro

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

Gemini 1.0 Pro

Gemini 1.5 Flash 8B
Average performance across 6 common benchmarks

Gemini 1.0 Pro

Gemini 1.5 Flash 8B
Performance comparison across key benchmark categories

Gemini 1.0 Pro

Gemini 1.5 Flash 8B
Gemini 1.0 Pro
2024-02-01
Gemini 1.5 Flash 8B
2024-10-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.0 Pro

Gemini 1.5 Flash 8B

Gemini 1.0 Pro

Gemini 1.5 Flash 8B