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o1 vs o3-mini
Comprehensive side-by-side LLM comparison
o1 leads with 2.0% higher average benchmark score. o3-mini is $69.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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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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.
1 month newer
o1
OpenAI
2024-12-17
o3-mini
OpenAI
2025-01-30
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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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o3-mini
Input:$1.10
Output:$4.40($69.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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o1
Average Score:64.6%(+2.0%)
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o3-mini
Average Score:62.7%
Performance comparison across key benchmark categories
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o1
Coding41.0%
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o3-mini
Coding49.3%(+8.3%)
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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
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:64.6%(+2.0%)
Providers:2
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o3-mini
Avg Score:62.7%
Providers:2