Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 26.1% higher average benchmark score. Gemini 1.5 Pro offers 2.0M more tokens in context window than Gemma 3n E4B Instructed. Gemini 1.5 Pro is $47.50 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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.
1 year newer
Gemini 1.5 Pro
2024-05-01
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemini 1.5 Pro
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 35 common benchmarks
Gemini 1.5 Pro
Gemma 3n E4B Instructed
Gemini 1.5 Pro
2023-11-01
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemini 1.5 Pro
Gemma 3n E4B Instructed
Gemini 1.5 Pro
Gemma 3n E4B Instructed
Gemini 1.5 Pro
Gemma 3n E4B Instructed
Together