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

Grok-4
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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.

Phi-3.5-MoE-instruct
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi-3.5-MoE-instruct
Microsoft
2024-08-23

Grok-4
xAI
2025-07-09
10 months newer
Performance Metrics
Context window and performance specifications

Grok-4

Phi-3.5-MoE-instruct
Average performance across 1 common benchmarks

Grok-4

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

Grok-4

Phi-3.5-MoE-instruct
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4
xAI
ZeroEval

Phi-3.5-MoE-instruct

Grok-4

Phi-3.5-MoE-instruct