Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 10.6% higher average benchmark score. Overall, Gemini 2.5 Pro Preview 06-05 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 is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.
21 days newer
Gemini 2.5 Pro Preview 06-05
2025-06-05
Gemma 3n E2B Instructed
2025-06-26
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.5 Pro Preview 06-05
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed
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
Gemini 2.5 Pro Preview 06-05
Gemma 3n E2B Instructed
Gemini 2.5 Pro Preview 06-05
Gemma 3n E2B Instructed