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DeepSeek VL2 Small vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 7.6% higher average benchmark score. Llama 4 Scout 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 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Meta's latest advancement in AI technology.
3 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Llama 4 Scout
Meta
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek VL2 Small
Average Score:44.3%(+7.6%)
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Llama 4 Scout
Average Score:36.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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DeepSeek VL2 Small
Avg Score:44.3%(+7.6%)
Providers:0
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Llama 4 Scout
Avg Score:36.7%
Providers:6