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Llama 3.1 Nemotron Nano 8B V1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 36.5% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
6 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:14.0%
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Phi-3.5-mini-instruct
Average Score:50.6%(+36.5%)
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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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Llama 3.1 Nemotron Nano 8B V1
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:14.0%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:50.6%(+36.5%)
Providers:1