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DeepSeek VL2 Small vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 13.2% higher average benchmark score. Overall, DeepSeek VL2 Small 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 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
6 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Gemma 3n E2B
2025-06-26
Average performance across 25 common benchmarks
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DeepSeek VL2 Small
Average Score:39.0%(+13.2%)
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Gemma 3n E2B
Average Score:25.8%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
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 3n E2B
0 providers
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DeepSeek VL2 Small
Avg Score:39.0%(+13.2%)
Providers:0
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Gemma 3n E2B
Avg Score:25.8%
Providers:0