Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 4.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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.
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). 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. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Pixtral Large
Mistral AI
2024-11-18
Context window and performance specifications
Average performance across 12 common benchmarks
Phi-3.5-vision-instruct
Pixtral Large
Available providers and their performance metrics
Phi-3.5-vision-instruct
Pixtral Large
Mistral AI
Phi-3.5-vision-instruct
Pixtral Large
Phi-3.5-vision-instruct
Pixtral Large