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o3 vs o4-mini
Comprehensive side-by-side LLM comparison
o3 leads with 3.2% higher average benchmark score. o4-mini is $4.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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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.
Launched on the same date
o3
OpenAI
2025-04-16
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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o3
Input:$2.00
Output:$8.00
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o4-mini
Input:$1.10
Output:$4.40($4.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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o3
Average Score:71.5%(+3.2%)
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o4-mini
Average Score:68.3%
Performance comparison across key benchmark categories
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o3
Coding69.1%(+1.0%)
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o4-mini
Coding68.1%
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
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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o3
1 providers
OpenAI
Throughput: 50 tok/s
Latency: 20ms
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o4-mini
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o3
Avg Score:71.5%(+3.2%)
Providers:1
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o4-mini
Avg Score:68.3%
Providers:1