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o4-mini vs Phi 4
Comprehensive side-by-side LLM comparison
o4-mini leads with 25.3% higher average benchmark score. o4-mini offers 268.0K more tokens in context window than Phi 4. Phi 4 is $5.29 cheaper per million tokens. 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 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
4 months newer
Phi 4
Microsoft
2024-12-12
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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o4-mini
Input:$1.10
Output:$4.40
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Phi 4
Input:$0.07
Output:$0.14($5.29 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o4-mini
Average Score:81.4%(+25.3%)
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Phi 4
Average Score:56.1%
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
Phi 4
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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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Phi 4
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o4-mini
Avg Score:81.4%(+25.3%)
Providers:1
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Phi 4
Avg Score:56.1%
Providers:1