Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 1.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI'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.
10 days newer
Grok-2 mini
xAI
2024-08-13
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Average performance across 15 common benchmarks
Grok-2 mini
Phi-3.5-vision-instruct
Available providers and their performance metrics
Grok-2 mini
Phi-3.5-vision-instruct
Grok-2 mini
Phi-3.5-vision-instruct