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Llama 3.1 Nemotron 70B Instruct vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 2.8% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). Released in 2024, 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.
6 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Llama 4 Scout
Meta
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Llama 3.1 Nemotron 70B Instruct
Average Score:33.9%
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Llama 4 Scout
Average Score:36.7%(+2.8%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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 70B Instruct
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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Llama 3.1 Nemotron 70B Instruct
Avg Score:33.9%
Providers:0
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Llama 4 Scout
Avg Score:36.7%(+2.8%)
Providers:6