+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
GPT-4 leads with 2.7% higher average benchmark score. GPT-4 supports multimodal inputs. GPT-4 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
+
+
+
+
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
GPT-4
OpenAI
2023-06-13
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
+
+
+
+
GPT-4
Average Score:69.8%(+2.7%)
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:67.1%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
+
GPT-4
Avg Score:69.8%(+2.7%)
Providers:2
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:67.1%
Providers:0