Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 7.4% higher average benchmark score. Gemini 2.5 Pro is available on 2 providers. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 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.
Launched on the same date
Gemini 2.5 Pro
2025-05-20
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Context window and performance specifications
Average performance across 40 common benchmarks
Gemini 2.5 Pro
Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Gemma 3n E4B Instructed LiteRT Preview
Gemini 2.5 Pro
Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview