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DeepSeek VL2 Small vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 11.5% higher average benchmark score. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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.
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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 Small
DeepSeek
2024-12-13
Gemma 3 4B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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DeepSeek VL2 Small
Average Score:27.8%
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Gemma 3 4B
Average Score:39.4%(+11.5%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Gemma 3 4B
1 providers
DeepInfra
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DeepSeek VL2 Small
Avg Score:27.8%
Providers:0
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Gemma 3 4B
Avg Score:39.4%(+11.5%)
Providers:1