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o4-mini vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
o4-mini leads with 21.2% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
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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.
14 days newer
o4-mini
OpenAI
2025-04-16
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o4-mini
Average Score:89.2%(+21.2%)
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Phi 4 Reasoning
Average Score:68.0%
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Phi 4 Reasoning
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o4-mini
Avg Score:89.2%(+21.2%)
Providers:1
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Phi 4 Reasoning
Avg Score:68.0%
Providers:0