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o3-mini vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 33.0% higher average benchmark score. o3-mini is available on 2 providers. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
2 days newer
o3-mini
OpenAI
2025-01-30
Phi 4 Mini
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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o3-mini
Average Score:86.9%(+33.0%)
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Phi 4 Mini
Average Score:53.9%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:86.9%(+33.0%)
Providers:2
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Phi 4 Mini
Avg Score:53.9%
Providers:0