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

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.

Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

Gemini 2.0 Flash-Lite
2025-02-05
7 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Gemma 2 27B
Average performance across 1 common benchmarks

Gemini 2.0 Flash-Lite

Gemma 2 27B
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Gemma 2 27B
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Gemma 2 27B

Gemini 2.0 Flash-Lite

Gemma 2 27B