Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 12.8% 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 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.
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.
4 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 26 common benchmarks
Llama 3.1 Nemotron 70B Instruct
Phi-4-multimodal-instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Llama 3.1 Nemotron 70B Instruct
Phi-4-multimodal-instruct
DeepInfra
Llama 3.1 Nemotron 70B Instruct
Phi-4-multimodal-instruct
Llama 3.1 Nemotron 70B Instruct
Phi-4-multimodal-instruct