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o3-mini vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 8.6% higher average benchmark score. Both models have similar pricing. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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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.
2 months newer
o3-mini
OpenAI
2025-01-30
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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o3-mini
Input:$1.10
Output:$4.40
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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o3-mini
Average Score:61.6%
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o4-mini
Average Score:70.1%(+8.6%)
Performance comparison across key benchmark categories
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o3-mini
Coding49.3%
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o4-mini
Coding68.1%(+18.8%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
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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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:61.6%
Providers:2
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o4-mini
Avg Score:70.1%(+8.6%)
Providers:1