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Llama 3.2 3B Instruct vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 22.1% higher average benchmark score. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
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NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
10 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Llama 3.2 3B Instruct
Average Score:55.1%
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Nemotron Nano 9B v2
Average Score:77.2%(+22.1%)
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Knowledge Cutoff
Training data recency comparison
Nemotron Nano 9B v2
2024-09
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 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Nemotron Nano 9B v2
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Llama 3.2 3B Instruct
Avg Score:55.1%
Providers:1
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Nemotron Nano 9B v2
Avg Score:77.2%(+22.1%)
Providers:0