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DeepSeek VL2 Tiny vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 6.9% higher average benchmark score. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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 E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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 Tiny
DeepSeek
2024-12-13
Gemma 3n E4B
2025-06-26
Average performance across 25 common benchmarks
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DeepSeek VL2 Tiny
Average Score:35.3%(+6.9%)
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Gemma 3n E4B
Average Score:28.4%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
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 Tiny
0 providers
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Gemma 3n E4B
0 providers
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DeepSeek VL2 Tiny
Avg Score:35.3%(+6.9%)
Providers:0
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Gemma 3n E4B
Avg Score:28.4%
Providers:0