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o1 vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 3.5% 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 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
o1
OpenAI
2024-12-17
o3-mini
OpenAI
2025-01-30
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 34 common benchmarks
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o1
Average Score:40.0%
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o3-mini
Average Score:43.5%(+3.5%)
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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
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:40.0%
Providers:2
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o3-mini
Avg Score:43.5%(+3.5%)
Providers:2