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DeepSeek VL2 Tiny vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 12.2% higher average benchmark score. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
2 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Gemma 3 4B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek VL2 Tiny
Average Score:77.7%(+12.2%)
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Gemma 3 4B
Average Score:65.4%
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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 Tiny
0 providers
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Gemma 3 4B
1 providers
DeepInfra
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DeepSeek VL2 Tiny
Avg Score:77.7%(+12.2%)
Providers:0
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Gemma 3 4B
Avg Score:65.4%
Providers:1