Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 9.5% higher average benchmark score. Both models have similar pricing. Overall, Gemma 3 12B is the stronger choice for coding tasks.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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.
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 12B
2025-03-12
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 12B
Gemma 3 4B
Context window and performance specifications
Average performance across 26 common benchmarks
Gemma 3 12B
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
Gemma 3 4B
Gemma 3 12B
Gemma 3 4B
Gemma 3 12B
Gemma 3 4B
DeepInfra