+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 Nemotron Nano 8B V1 vs Phi 4
Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B V1 leads with 7.1% 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-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
3 months newer
Phi 4
Microsoft
2024-12-12
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Average Score:66.7%(+7.1%)
+
+
+
+
Phi 4
Average Score:59.6%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Phi 4
2024-06-01
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 4
1 providers
DeepInfra
+
+
+
+
Llama 3.1 Nemotron Nano 8B V1
Avg Score:66.7%(+7.1%)
Providers:0
+
+
+
+
Phi 4
Avg Score:59.6%
Providers:1