Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 48.9% higher average benchmark score. Grok 4 Fast supports multimodal inputs. Overall, Grok 4 Fast is the stronger choice for coding tasks.
xAI
Grok 4 Fast is a multimodal language model developed by xAI. It achieves strong performance with an average score of 73.0% across 7 benchmarks. It excels particularly in SimpleQA (95.0%), HMMT 2025 (93.3%), AIME 2025 (92.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
1 year newer

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

Grok 4 Fast
xAI
2025-08-28
Context window and performance specifications
Average performance across 1 common benchmarks

Grok 4 Fast

Phi-3.5-MoE-instruct
Available providers and their performance metrics

Grok 4 Fast
xAI

Phi-3.5-MoE-instruct

Grok 4 Fast

Phi-3.5-MoE-instruct

Grok 4 Fast

Phi-3.5-MoE-instruct