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o3 vs o3-mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o3-mini is $4.50 cheaper per million tokens. o3 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). 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.
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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.
2 months newer
o3-mini
OpenAI
2025-01-30
o3
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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o3
Input:$2.00
Output:$8.00
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o3-mini
Input:$1.10
Output:$4.40($4.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 42 common benchmarks
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o3
Average Score:35.4%(+0.1%)
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o3-mini
Average Score:35.2%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
o3
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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o3-mini
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o3
Avg Score:35.4%(+0.1%)
Providers:1
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o3-mini
Avg Score:35.2%
Providers:2