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o1-preview vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 9.0% higher average benchmark score. o3-mini offers 139.2K more tokens in context window than o1-preview. o3-mini is $69.50 cheaper per million tokens. Overall, o3-mini 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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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
4 months newer
o1-preview
OpenAI
2024-09-12
o3-mini
OpenAI
2025-01-30
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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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o3-mini
Input:$1.10
Output:$4.40($69.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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o1-preview
Average Score:64.8%
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o3-mini
Average Score:73.8%(+9.0%)
Performance comparison across key benchmark categories
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o1-preview
Coding41.3%
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o3-mini
Coding49.3%(+8.0%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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-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:64.8%
Providers:2
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o3-mini
Avg Score:73.8%(+9.0%)
Providers:2