Comprehensive side-by-side LLM comparison
Grok 2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
xAI
Grok 2, released by xAI in August 2024, is a large language model with 131K token context window and native image understanding, developed with access to real-time information from the X platform. It features multimodal input capabilities and improved reasoning over its predecessor. Grok 2 targets conversational assistants, image analysis, and real-time information retrieval tasks via the xAI API.
Microsoft
Phi-3.5-MoE-instruct is a sparse mixture-of-experts model from Microsoft's Phi research team, released in August 2024 with 42 billion total parameters across 16 experts and approximately 6.6 billion active parameters per forward pass. The model applies Microsoft's small-data, high-quality training philosophy — developed across earlier Phi generations — to a MoE architecture, targeting reasoning quality comparable to much larger dense models at a fraction of the inference compute. Released under the MIT license, it was notable in the research community for demonstrating that MoE efficiency gains could be realized at smaller total parameter counts than typical large-scale MoE deployments.
8 days newer

Grok 2
xAI
2024-08-14

Phi-3.5-MoE Instruct
Microsoft
2024-08-22
Context window and performance specifications
Available providers and their performance metrics
Grok 2
xAI
Phi-3.5-MoE Instruct
Grok 2
Phi-3.5-MoE Instruct
Grok 2
Phi-3.5-MoE Instruct