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DeepSeek R1 Zero vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 16.7% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
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 Zero
Average Score:61.7%(+16.7%)
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Llama 4 Scout
Average Score:45.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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DeepSeek R1 Zero
Avg Score:61.7%(+16.7%)
Providers:0
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Llama 4 Scout
Avg Score:45.0%
Providers:6