Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Zero
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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.
DeepSeek R1 Zero
DeepSeek
2025-01-20
Gemma 3 12B
2025-03-12
1 month newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Zero
Gemma 3 12B
Average performance across 2 common benchmarks
DeepSeek R1 Zero
Gemma 3 12B
Performance comparison across key benchmark categories
DeepSeek R1 Zero
Gemma 3 12B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Zero
Gemma 3 12B
DeepInfra
DeepSeek R1 Zero
Gemma 3 12B