Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 11.0% higher average benchmark score. Gemma 3 4B offers 3.6K more tokens in context window than DeepSeek VL2. Gemma 3 4B is $4809.44 cheaper per million tokens. Overall, Gemma 3 4B is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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. 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 VL2
DeepSeek
2024-12-13
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
DeepSeek VL2
Gemma 3 4B
Context window and performance specifications
Average performance across 35 common benchmarks
DeepSeek VL2
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
DeepSeek VL2
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DeepSeek VL2
Gemma 3 4B
DeepSeek VL2
Gemma 3 4B
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