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o1 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 9.5% higher average benchmark score. o4-mini is $69.50 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
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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
OpenAI
2024-12-17
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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o1
Input:$15.00
Output:$60.00
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o4-mini
Input:$1.10
Output:$4.40($69.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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o1
Average Score:66.2%
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o4-mini
Average Score:75.7%(+9.5%)
Performance comparison across key benchmark categories
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o1
Coding41.0%
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o4-mini
Coding68.1%(+27.1%)
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Knowledge Cutoff
Training data recency comparison
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
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:66.2%
Providers:2
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o4-mini
Avg Score:75.7%(+9.5%)
Providers:1