+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 Nemotron Nano 8B V1 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B V1 leads with 10.5% higher average benchmark score. Overall, Llama 3.1 Nemotron Nano 8B V1 is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
6 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 2 common benchmarks
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Average Score:69.3%(+10.5%)
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:58.8%
+
+
+
+
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
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
0 providers
+
+
+
+
Phi-3.5-MoE-instruct
0 providers
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Avg Score:69.3%(+10.5%)
Providers:0
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:58.8%
Providers:0