+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 70B Instruct vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 12.5% higher average benchmark score. Llama 3.1 70B Instruct is available on 9 providers. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
+
+
+
+
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.
1 year newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Nemotron Nano 9B v2
NVIDIA
2025-08-18
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Llama 3.1 70B Instruct
Average Score:64.6%
+
+
+
+
Nemotron Nano 9B v2
Average Score:77.2%(+12.5%)
+
+
+
+
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
+
+
+
+
Llama 3.1 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 1204 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
Fireworks
Throughput: 32 tok/s
Latency: 0.5ms
Groq
+
+
+
+
Llama 3.1 70B Instruct
Avg Score:64.6%
Providers:9
+
+
+
+
Nemotron Nano 9B v2
Avg Score:77.2%(+12.5%)
Providers:0