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Llama 3.1 Nemotron Nano 8B V1 vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 17.8% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout 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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Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
18 days newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Llama 4 Scout
Meta
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:29.7%
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Llama 4 Scout
Average Score:47.5%(+17.8%)
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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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Llama 4 Scout
6 providers
DeepInfra
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:29.7%
Providers:0
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Llama 4 Scout
Avg Score:47.5%(+17.8%)
Providers:6