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DeepSeek R1 Distill Qwen 32B vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 3.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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NVIDIA
Llama 3.1 Nemotron Nano 8B was created as a compact variant optimized by NVIDIA, designed to bring Llama 3.1 capabilities to more efficient deployments. Built with NVIDIA's efficiency optimizations, it serves applications requiring strong performance with reduced resource requirements.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Llama 3.1 Nemotron Nano 8B 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 Qwen 32B
Average Score:78.2%(+3.5%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:74.8%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B 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 Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Llama 3.1 Nemotron Nano 8B V1
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DeepSeek R1 Distill Qwen 32B
Avg Score:78.2%(+3.5%)
Providers:1
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:74.8%
Providers:0