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GPT-4o mini vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 25.6% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
9 months newer
GPT-4o mini
OpenAI
2024-07-18
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o mini
Average Score:40.2%
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Phi 4 Reasoning
Average Score:65.8%(+25.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
Phi 4 Reasoning
2025-03-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Phi 4 Reasoning
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GPT-4o mini
Avg Score:40.2%
Providers:1
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Phi 4 Reasoning
Avg Score:65.8%(+25.6%)
Providers:0