Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1-0528
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemma 3 4B
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.
Gemma 3 4B
2025-03-12
DeepSeek-R1-0528
DeepSeek
2025-05-28
2 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1-0528
Gemma 3 4B
Performance Metrics
Context window and performance specifications
DeepSeek-R1-0528
Gemma 3 4B
Average performance across 4 common benchmarks
DeepSeek-R1-0528
Gemma 3 4B
Performance comparison across key benchmark categories
DeepSeek-R1-0528
Gemma 3 4B
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
Novita
DeepSeek
Gemma 3 4B
DeepInfra
DeepSeek-R1-0528
Gemma 3 4B