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DeepSeek R1 Zero vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 31.6% higher average benchmark score. Llama 3.1 70B 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 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
6 months newer
Llama 3.1 70B 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%(+31.6%)
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Llama 3.1 70B Instruct
Average Score:41.7%
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 70B Instruct
9 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:73.3%(+31.6%)
Providers:0
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Llama 3.1 70B Instruct
Avg Score:41.7%
Providers:9