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Llama 3.1 Nemotron Nano 8B V1 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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NVIDIA
Llama 3.1 Nemotron Nano 8B was created as a compact variant optimized by NVIDIA, designed to bring Llama 3.1 capabilities to more efficient deployments. Built with NVIDIA's efficiency optimizations, it serves applications requiring strong performance with reduced resource requirements.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
1 month newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Phi-4-multimodal-instruct
2024-06-01
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 Nano 8B V1
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:0.0%
Providers:0
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1