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DeepSeek VL2 Tiny vs Gemma 3 12B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 1.7% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
2 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Gemma 3 12B
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%(+1.7%)
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Gemma 3 12B
Average Score:75.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Gemma 3 12B
1 providers
DeepInfra
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DeepSeek VL2 Tiny
Avg Score:77.7%(+1.7%)
Providers:0
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Gemma 3 12B
Avg Score:75.9%
Providers:1