A brief summary of the o3-mini 
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A brief summary of the o3-mini 
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The OpenAI o3-mini model is a significant improvement over the o1-mini, reaching o1 performance levels.  While generally good, its performance isn't universally better than previous models (o1, o1-prev.) or GPT-4o across all benchmarks.  This means workflows should be re-evaluated with each model upgrade.  
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The OpenAI o3-mini model is a significant improvement over the o1-mini, reaching o1 performance levels.  While generally good, its performance isn't universally better than previous models (o1, o1-prev.) or GPT-4o across all benchmarks.  This means workflows should be re-evaluated with each model upgrade.  
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The o3-mini has "low," "medium," and "high" versions, with "low" being the base model used for benchmarking.  It's speculated that the higher versions simply involve more processing.  A fair comparison with other models like Gemini 2.0 Thinking or DeepSeek-R1 would likely need to use the "low" version and a similar "think more" mechanism. 
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The o3-mini has "low," "medium," and "high" versions, with "low" being the base model used for benchmarking.  It's speculated that the higher versions simply involve more processing.  A fair comparison with other models like Gemini 2.0 Thinking or DeepSeek-R1 would likely need to use the "low" version and a similar "think more" mechanism. 
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 The system card is recommended reading due to its comprehensive benchmark data.
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 The system card is recommended reading due to its comprehensive benchmark data.
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https://openai.com/index/openai-o3-mini/
https://openai.com/index/openai-o3-mini/
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A brief summary of the o3-mini 

The OpenAI o3-mini model is a significant improvement over the o1-mini, reaching o1 performance levels.  While generally good, its performance isn't universally better than previous models (o1, o1-prev.) or GPT-4o across all benchmarks.  This means workflows should be re-evaluated with each model upgrade.  

The o3-mini has "low," "medium," and "high" versions, with "low" being the base model used for benchmarking.  It's speculated that the higher versions simply involve more processing.  A fair comparison with other models like Gemini 2.0 Thinking or DeepSeek-R1 would likely need to use the "low" version and a similar "think more" mechanism. 

 The system card is recommended reading due to its comprehensive benchmark data.

https://openai.com/index/openai-o3-mini/
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