Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemma 3 4B is $1.31 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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 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.
2 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
DeepSeek-V3
Gemma 3 4B
Context window and performance specifications
Average performance across 41 common benchmarks
DeepSeek-V3
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemma 3 4B
DeepSeek-V3
Gemma 3 4B
DeepSeek-V3
Gemma 3 4B
DeepInfra