Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
DeepSeek-V3
DeepSeek
2024-12-25
Gemma 3 4B
2025-03-12
2 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3
Gemma 3 4B
Performance Metrics
Context window and performance specifications
DeepSeek-V3
Gemma 3 4B
Average performance across 5 common benchmarks
DeepSeek-V3
Gemma 3 4B
Performance comparison across key benchmark categories
DeepSeek-V3
Gemma 3 4B
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemma 3 4B
DeepInfra
DeepSeek-V3
Gemma 3 4B