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DeepSeek R1 Zero vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 42.9% higher average benchmark score. Llama 3.1 8B Instruct is available on 9 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 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
6 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+42.9%)
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Llama 3.1 8B Instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B 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 R1 Zero
0 providers
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Llama 3.1 8B Instruct
9 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:73.3%(+42.9%)
Providers:0
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Llama 3.1 8B Instruct
Avg Score:30.4%
Providers:9