Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 27.0% higher average benchmark score. Gemma 3 27B offers 198.1K more tokens in context window than Gemma 3n E4B Instructed. Gemma 3 27B is $59.70 cheaper per million tokens. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 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.
3 months newer
Gemma 3 27B
2025-03-12
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3 27B
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 35 common benchmarks
Gemma 3 27B
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Gemma 3n E4B Instructed
Gemma 3 27B
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
Together