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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2.0 Flash
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 Pro
2024-05-01

Gemini 2.0 Flash
2024-12-01
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

Gemini 2.0 Flash
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Gemini 2.0 Flash
Average performance across 8 common benchmarks

Gemini 1.5 Pro

Gemini 2.0 Flash
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Gemini 2.0 Flash
Gemini 1.5 Pro
2023-11-01
Gemini 2.0 Flash
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Gemini 2.0 Flash

Gemini 1.5 Pro

Gemini 2.0 Flash