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

Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20

Gemini 2.5 Pro Preview 06-05
2025-06-05
16 days newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro Preview 06-05

Gemma 3n E4B Instructed LiteRT Preview
Average performance across 4 common benchmarks

Gemini 2.5 Pro Preview 06-05

Gemma 3n E4B Instructed LiteRT Preview
Performance comparison across key benchmark categories

Gemini 2.5 Pro Preview 06-05

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Gemini 2.5 Pro Preview 06-05
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro Preview 06-05

Gemma 3n E4B Instructed LiteRT Preview

Gemini 2.5 Pro Preview 06-05

Gemma 3n E4B Instructed LiteRT Preview