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Llama 3.1 Nemotron Ultra 253B v1 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 9.3% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
7 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
Average performance across 15 common benchmarks
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:31.7%
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Phi-3.5-vision-instruct
Average Score:41.0%(+9.3%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
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 Ultra 253B v1
0 providers
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Phi-3.5-vision-instruct
0 providers
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:31.7%
Providers:0
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Phi-3.5-vision-instruct
Avg Score:41.0%(+9.3%)
Providers:0