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DeepSeek R1 Zero vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 22.8% higher average benchmark score. Llama 3.3 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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
1 month newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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%(+22.8%)
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Llama 3.3 70B Instruct
Average Score:50.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Llama 3.3 70B Instruct
9 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:73.3%(+22.8%)
Providers:0
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Llama 3.3 70B Instruct
Avg Score:50.5%
Providers:9