Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 2.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). 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 Mistral AI's latest advancement in AI technology.
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.
6 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Average performance across 17 common benchmarks
Mistral Small 3.1 24B Instruct
Phi-3.5-vision-instruct
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Phi-3.5-vision-instruct
Mistral Small 3.1 24B Instruct
Phi-3.5-vision-instruct