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

Grok-3
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. It supports a 136K token context window for handling large documents. The model is available through 1 API provider. 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-3
xAI
2025-02-17
5 months newer
Performance Metrics
Context window and performance specifications

Grok-3

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

Grok-3

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

Grok-3

Phi-3.5-MoE-instruct
Grok-3
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

Grok-3
xAI

Phi-3.5-MoE-instruct

Grok-3

Phi-3.5-MoE-instruct