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o1-mini vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 26.7% higher average benchmark score. o1-mini offers 161.5K more tokens in context window than Phi 4. Phi 4 is $14.79 cheaper per million tokens. Overall, Phi 4 is the stronger choice for coding tasks.
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OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
3 months newer
o1-mini
OpenAI
2024-09-12
Phi 4
Microsoft
2024-12-12
Pricing Comparison
Cost per million tokens (USD)
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o1-mini
Input:$3.00
Output:$12.00
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Phi 4
Input:$0.07
Output:$0.14($14.79 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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o1-mini
Average Score:27.0%
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Phi 4
Average Score:53.6%(+26.7%)
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Knowledge Cutoff
Training data recency comparison
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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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:27.0%
Providers:2
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Phi 4
Avg Score:53.6%(+26.7%)
Providers:1