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DeepSeek R1 Zero vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 40.5% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct 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 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
3 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
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%(+40.5%)
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Llama 3.2 11B Instruct
Average Score:32.8%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B 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 3.2 11B Instruct
6 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:73.3%(+40.5%)
Providers:0
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Llama 3.2 11B Instruct
Avg Score:32.8%
Providers:6