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o1-preview vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
o1-preview leads with 36.1% higher average benchmark score. Phi-3.5-mini-instruct offers 95.2K more tokens in context window than o1-preview. Phi-3.5-mini-instruct is $74.80 cheaper per million tokens. Overall, o1-preview is the stronger choice for coding tasks.
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OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
20 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
o1-preview
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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o1-preview
Input:$15.00
Output:$60.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($74.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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o1-preview
Average Score:85.1%(+36.1%)
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Phi-3.5-mini-instruct
Average Score:48.9%
Provider Availability & Performance
Available providers and their performance metrics
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o1-preview
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1-preview
Avg Score:85.1%(+36.1%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:48.9%
Providers:1