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o1-mini vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 9.5% higher average benchmark score. o3-mini offers 106.5K more tokens in context window than o1-mini. o3-mini is $9.50 cheaper per million tokens. Overall, o3-mini 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
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-mini
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-mini
Input:$3.00
Output:$12.00
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o3-mini
Input:$1.10
Output:$4.40($9.50 cheaper)
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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o3-mini
Average Score:82.0%(+9.5%)
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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-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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o3-mini
Avg Score:82.0%(+9.5%)
Providers:2