Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 9.1% higher average benchmark score. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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 E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.
16 days newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 37 common benchmarks
Gemini 2.5 Pro Preview 06-05
Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Gemma 3n E2B Instructed LiteRT (Preview)
Gemini 2.5 Pro Preview 06-05
Gemma 3n E2B Instructed LiteRT (Preview)
Gemini 2.5 Pro Preview 06-05
Gemma 3n E2B Instructed LiteRT (Preview)