Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% 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 27B
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%). The model shows particular specialization in math tasks with an average performance of 78.2%. 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 12B
2025-03-12

Gemma 3 27B
2025-03-12
0 days newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 12B

Gemma 3 27B
Performance Metrics
Context window and performance specifications

Gemma 3 12B

Gemma 3 27B
Average performance across 26 common benchmarks

Gemma 3 12B

Gemma 3 27B
Performance comparison across key benchmark categories

Gemma 3 12B

Gemma 3 27B
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

Gemma 3 27B
DeepInfra
Novita

Gemma 3 12B

Gemma 3 27B