Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3 0324
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). 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-V3 0324
DeepSeek
2025-03-25
13 days newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3 0324
Gemma 3 4B
Average performance across 3 common benchmarks
DeepSeek-V3 0324
Gemma 3 4B
Performance comparison across key benchmark categories
DeepSeek-V3 0324
Gemma 3 4B
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3 0324
Gemma 3 4B
DeepInfra
DeepSeek-V3 0324
Gemma 3 4B