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DeepSeek VL2 Small vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 13.7% higher average benchmark score. Llama 3.2 11B Instruct is available on 6 providers. Overall, DeepSeek VL2 Small is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
2 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
DeepSeek VL2 Small
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek VL2 Small
Average Score:48.7%(+13.7%)
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Llama 3.2 11B Instruct
Average Score:35.0%
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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:48.7%(+13.7%)
Providers:0
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Llama 3.2 11B Instruct
Avg Score:35.0%
Providers:6