Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Grok-2 mini
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% 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.

Phi-3.5-vision-instruct
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%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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.

Grok-2 mini
xAI
2024-08-13

Phi-3.5-vision-instruct
Microsoft
2024-08-23
10 days newer
Average performance across 2 common benchmarks

Grok-2 mini

Phi-3.5-vision-instruct
Performance comparison across key benchmark categories

Grok-2 mini

Phi-3.5-vision-instruct
Provider Availability & Performance
Available providers and their performance metrics

Grok-2 mini

Phi-3.5-vision-instruct

Grok-2 mini

Phi-3.5-vision-instruct