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DeepSeek R1 Distill Llama 70B vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 1.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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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 Distill Llama 70B
DeepSeek
2025-01-20
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:79.8%
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Llama-3.3 Nemotron Super 49B v1
Average Score:81.6%(+1.8%)
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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 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Llama-3.3 Nemotron Super 49B v1
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DeepSeek R1 Distill Llama 70B
Avg Score:79.8%
Providers:1
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Llama-3.3 Nemotron Super 49B v1
Avg Score:81.6%(+1.8%)
Providers:0