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o3-mini vs o4-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 16.7% higher average benchmark score. Both models have similar pricing. o4-mini supports multimodal inputs. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 months newer
o3-mini
OpenAI
2025-01-30
o4-mini
OpenAI
2025-04-16
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 33 common benchmarks
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o3-mini
Average Score:44.9%(+16.7%)
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o4-mini
Average Score:28.2%
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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:44.9%(+16.7%)
Providers:2
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o4-mini
Avg Score:28.2%
Providers:1