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VS
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o1-pro vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 4.9% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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OpenAI
o1-pro was developed as an enhanced version of the o1 reasoning model, designed to provide extended reasoning capabilities with greater depth and reliability. Built for professionals and advanced users tackling complex analytical tasks, it offers enhanced thinking time and reasoning quality for the most demanding applications.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
4 months newer
o1-pro
OpenAI
2024-12-17
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1-pro
Average Score:82.5%
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o4-mini
Average Score:87.4%(+4.9%)
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Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
o4-mini
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-pro
0 providers
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o4-mini
1 providers
OpenAI
Throughput:
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o1-pro
Avg Score:82.5%
Providers:0
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o4-mini
Avg Score:87.4%(+4.9%)
Providers:1