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 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Gemini 1.5 Flash
2024-05-01

Gemini 2.0 Flash Thinking
2025-01-21
8 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Gemini 2.0 Flash Thinking
Average performance across 2 common benchmarks

Gemini 1.5 Flash

Gemini 2.0 Flash Thinking
Performance comparison across key benchmark categories

Gemini 1.5 Flash

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

Gemini 1.5 Flash

Gemini 2.0 Flash Thinking

Gemini 1.5 Flash

Gemini 2.0 Flash Thinking