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DeepSeek VL2 Tiny vs Gemma 3n E4B Instructed
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 4.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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 2025, it represents Google's latest advancement in AI technology.
6 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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DeepSeek VL2 Tiny
Average Score:27.6%(+4.0%)
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Gemma 3n E4B Instructed
Average Score:23.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
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 Instructed
1 providers
Together
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DeepSeek VL2 Tiny
Avg Score:27.6%(+4.0%)
Providers:0
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Gemma 3n E4B Instructed
Avg Score:23.6%
Providers:1