Model Comparison

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

xAI

Grok-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

Microsoft

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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

xAI

Grok-4 Heavy

xAI

2025-07-09

10 months newer

Performance comparison across key benchmark categories

xAI

Grok-4 Heavy

general
+3.6%
79.5%
Microsoft

Phi-3.5-vision-instruct

general
75.9%
Knowledge Cutoff
Training data recency comparison

Grok-4 Heavy

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-4 Heavy

0 providers
Microsoft

Phi-3.5-vision-instruct

0 providers
xAI

Grok-4 Heavy

Avg Score:0.0%
Providers:0
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0