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DeepSeek R1 Zero vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 3.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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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NVIDIA
Llama 3.3 Nemotron Super 49B was created through NVIDIA's optimization of Llama 3.3, designed to provide a balanced option with 49 billion parameters. Built to serve as a versatile mid-to-large-scale offering, it combines NVIDIA's customization expertise with Meta's foundation architecture.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
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Average performance across 2 common benchmarks
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DeepSeek R1 Zero
Average Score:84.6%(+3.0%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:81.6%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
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-3.3 Nemotron Super 49B v1
0 providers
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DeepSeek R1 Zero
Avg Score:84.6%(+3.0%)
Providers:0
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Llama-3.3 Nemotron Super 49B v1
Avg Score:81.6%
Providers:0