Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 24.6% higher average benchmark score. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI'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.
6 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
Mistral NeMo Instruct
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 23 common benchmarks
Mistral NeMo Instruct
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Mistral NeMo Instruct
Mistral AI
Mistral NeMo Instruct
Phi-4-multimodal-instruct
Mistral NeMo Instruct
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra