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DeepSeek VL2 Small vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.2 11B Instruct is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2-Small was created as a compact vision-language variant, designed to bring multimodal capabilities to applications with limited computational resources. Built to provide visual and textual understanding in a more efficient package, it serves use cases requiring practical deployment of vision-language AI.
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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 Small
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 Small
Average Score:73.1%(+0.1%)
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Llama 3.2 11B Instruct
Average Score:73.0%
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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 Small
0 providers
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Llama 3.2 11B Instruct
6 providers
Bedrock
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DeepSeek VL2 Small
Avg Score:73.1%(+0.1%)
Providers:0
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Llama 3.2 11B Instruct
Avg Score:73.0%
Providers:6