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-Lite
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, it represents Google's latest advancement in AI technology.

Gemini 1.5 Flash
2024-05-01

Gemini 2.0 Flash-Lite
2025-02-05
9 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Flash

Gemini 2.0 Flash-Lite
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash

Gemini 2.0 Flash-Lite
Average performance across 5 common benchmarks

Gemini 1.5 Flash

Gemini 2.0 Flash-Lite
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Gemini 2.0 Flash-Lite
Gemini 1.5 Flash
2023-11-01
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Gemini 2.0 Flash-Lite

Gemini 1.5 Flash

Gemini 2.0 Flash-Lite