+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4o mini vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 12.4% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, GPT-4o mini is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
+
+
+
+
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 month newer
GPT-4o mini
OpenAI
2024-07-18
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
GPT-4o mini
Average Score:73.3%(+12.4%)
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:60.9%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
+
+
+
+
Phi-3.5-MoE-instruct
+
+
+
+
GPT-4o mini
Avg Score:73.3%(+12.4%)
Providers:1
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:60.9%
Providers:0