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DeepSeek VL2 Tiny vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 14.8% higher average benchmark score. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout 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 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
3 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Llama 4 Scout
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek VL2 Tiny
Average Score:66.1%
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Llama 4 Scout
Average Score:80.8%(+14.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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DeepSeek VL2 Tiny
Avg Score:66.1%
Providers:0
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Llama 4 Scout
Avg Score:80.8%(+14.8%)
Providers:6