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DeepSeek R1 Distill Llama 8B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Llama-8B was developed as a compact distilled variant, designed to bring reasoning capabilities to a more efficient 8B parameter Llama base. Built to democratize access to reasoning-enhanced models, it provides a lightweight option for applications requiring analytical depth with limited resources.
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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.
2 months newer
DeepSeek R1 Distill Llama 8B
DeepSeek
2025-01-20
Llama 4 Scout
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 8B
Average Score:44.3%
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Llama 4 Scout
Average Score:45.0%(+0.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Llama 8B
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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DeepSeek R1 Distill Llama 8B
Avg Score:44.3%
Providers:0
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Llama 4 Scout
Avg Score:45.0%(+0.7%)
Providers:6