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DeepSeek VL2 Tiny vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 5.9% higher average benchmark score. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B Instruct 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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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
2 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
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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:67.2%
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Llama 3.2 11B Instruct
Average Score:73.0%(+5.9%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
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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Llama 3.2 11B Instruct
6 providers
Bedrock
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DeepSeek VL2 Tiny
Avg Score:67.2%
Providers:0
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Llama 3.2 11B Instruct
Avg Score:73.0%(+5.9%)
Providers:6