Model Comparison
o1 vs o3-mini
o3-mini has a slight edge in benchmark performance. o3-mini is 13.6x cheaper per token.
Performance Benchmarks
Comparative analysis across standard metrics
o1 outperforms in 5 benchmarks (GPQA, MMLU, SimpleQA, TAU-bench Airline, TAU-bench Retail), while o3-mini is better at 6 benchmarks (AIME 2024, FrontierMath, LiveBench, MATH, MGSM, SWE-Bench Verified).
o3-mini has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o1 ($15.00/1M tokens) is 13.6x more expensive than o3-mini ($1.10/1M tokens).
For output processing, o1 ($60.00/1M tokens) is 13.6x more expensive than o3-mini ($4.40/1M tokens).
In conclusion, o1 is more expensive than o3-mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 200,000 tokens. Both models can generate responses up to 100,000 tokens.
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
o1 was released on 2024-12-17, while o3-mini was released on 2025-01-30.
o3-mini is 1 month newer than o1.
Dec 17, 2024
1.4 years ago
Jan 30, 2025
1.3 years ago
1mo newerKnowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while o1's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without o1's cutoff date.
—
Sep 2023
Provider Availability
o1 is available from Azure, OpenAI. o3-mini is available from Azure, OpenAI.
o1
o3-mini
Outputs Comparison
Key Takeaways
o1
View detailsOpenAI
o3-mini
View detailsOpenAI
Detailed Comparison
FAQ
Common questions about o1 vs o3-mini.