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.

Nova Pro
Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K 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. Released in 2024, it represents Amazon's latest advancement in AI technology.

Nova Pro
Amazon
2024-11-20

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

Gemma 3 12B

Nova Pro
Performance Metrics
Context window and performance specifications

Gemma 3 12B

Nova Pro
Average performance across 8 common benchmarks

Gemma 3 12B

Nova Pro
Performance comparison across key benchmark categories

Gemma 3 12B

Nova Pro
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

Nova Pro
Bedrock

Gemma 3 12B

Nova Pro