Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 1.5 Pro offers 1.8M more tokens in context window than Gemma 3 27B. Gemma 3 27B is $12.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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 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.
10 months newer
Gemini 1.5 Pro
2024-05-01
Gemma 3 27B
2025-03-12
Cost per million tokens (USD)
Gemini 1.5 Pro
Gemma 3 27B
Context window and performance specifications
Average performance across 41 common benchmarks
Gemini 1.5 Pro
Gemma 3 27B
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Gemma 3 27B
Gemini 1.5 Pro
Gemma 3 27B
Gemini 1.5 Pro
Gemma 3 27B
DeepInfra
Novita