+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Grok-3 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Grok-3 leads with 47.8% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Grok-3 is the stronger choice for coding tasks.
+
+
+
+
xAI
Grok 3 was introduced as xAI's third-generation flagship model, designed to push the boundaries of reasoning, factual accuracy, and helpful assistance. Built to advance the state of AI capabilities, it incorporates improvements across language understanding, generation, and analytical thinking.
+
+
+
+
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.
5 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Grok-3
xAI
2025-02-17
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
Grok-3
Average Score:84.6%(+47.8%)
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:36.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Grok-3
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
+
+
+
+
Phi-3.5-MoE-instruct
+
+
+
+
Grok-3
Avg Score:84.6%(+47.8%)
Providers:1
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0