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o1 vs Phi 4
Comprehensive side-by-side LLM comparison
o1 leads with 17.5% higher average benchmark score. o1 offers 268.0K more tokens in context window than Phi 4. Phi 4 is $74.79 cheaper per million tokens. Overall, o1 is the stronger choice for coding tasks.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
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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.
5 days newer
Phi 4
Microsoft
2024-12-12
o1
OpenAI
2024-12-17
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Pricing Comparison
Cost per million tokens (USD)
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o1
Input:$15.00
Output:$60.00
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Phi 4
Input:$0.07
Output:$0.14($74.79 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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o1
Average Score:79.7%(+17.5%)
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Phi 4
Average Score:62.2%
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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
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1
Avg Score:79.7%(+17.5%)
Providers:2
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Phi 4
Avg Score:62.2%
Providers:1