Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 12.5% higher average benchmark score. Both models have similar pricing. 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 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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
Gemma 3 27B
2025-03-12
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
Gemma 3 4B
Context window and performance specifications
Average performance across 26 common benchmarks
Gemma 3 27B
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Gemma 3 4B
Gemma 3 27B
Gemma 3 4B
Gemma 3 4B
DeepInfra