+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4o mini vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 11.8% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, Phi 4 Mini Reasoning 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-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
9 months newer
GPT-4o mini
OpenAI
2024-07-18
Phi 4 Mini Reasoning
Microsoft
2025-04-30
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GPT-4o mini
Average Score:40.2%
+
+
+
+
Phi 4 Mini Reasoning
Average Score:52.0%(+11.8%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
Phi 4 Mini Reasoning
2025-02-01
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 4 Mini Reasoning
+
+
+
+
GPT-4o mini
Avg Score:40.2%
Providers:1
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:52.0%(+11.8%)
Providers:0