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o1-mini vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 23.3% higher average benchmark score. o3 offers 106.5K more tokens in context window than o1-mini. o3 is $5.00 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 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 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
7 months newer
o1-mini
OpenAI
2024-09-12
o3
OpenAI
2025-04-16
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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
Input:$2.00
Output:$8.00($5.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o1-mini
Average Score:60.0%
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o3
Average Score:83.3%(+23.3%)
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
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:60.0%
Providers:2
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o3
Avg Score:83.3%(+23.3%)
Providers:1