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o1 vs o1-mini
Comprehensive side-by-side LLM comparison
o1 leads with 6.8% higher average benchmark score. o1 offers 106.5K more tokens in context window than o1-mini. o1-mini is $60.00 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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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.
3 months newer
o1-mini
OpenAI
2024-09-12
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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o1-mini
Input:$3.00
Output:$12.00($60.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o1
Average Score:86.0%(+6.8%)
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o1-mini
Average Score:79.2%
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:86.0%(+6.8%)
Providers:2
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o1-mini
Avg Score:79.2%
Providers:2