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o1-mini vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 9.5% higher average benchmark score. o1-mini offers 32.8K more tokens in context window than o1-preview. o1-mini is $60.00 cheaper per million tokens. Overall, o1-preview is the stronger choice for coding tasks.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
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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.
Launched on the same date
o1-mini
OpenAI
2024-09-12
o1-preview
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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o1-mini
Input:$3.00
Output:$12.00($60.00 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1-mini
Average Score:72.6%
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o1-preview
Average Score:82.0%(+9.5%)
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:72.6%
Providers:2
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o1-preview
Avg Score:82.0%(+9.5%)
Providers:2