Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 26.1% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Context window and performance specifications
Average performance across 22 common benchmarks
Llama 3.1 Nemotron Nano 8B V1
Phi-4-multimodal-instruct
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Llama 3.1 Nemotron Nano 8B V1
Phi-4-multimodal-instruct
DeepInfra
Llama 3.1 Nemotron Nano 8B V1
Phi-4-multimodal-instruct
Llama 3.1 Nemotron Nano 8B V1
Phi-4-multimodal-instruct