Model Comparison
Gemini 2.5 Flash-Lite vs o1-pro
o1-pro significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while o1-pro is better at 1 benchmark (GPQA).
o1-pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Both Gemini 2.5 Flash-Lite and o1-pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Flash-Lite
o1-pro
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while o1-pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while o1-pro was released on 2024-12-17.
Gemini 2.5 Flash-Lite is 6 months newer than o1-pro.
Jun 17, 2025
10 months ago
6mo newerDec 17, 2024
1.4 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while o1-pro has a cutoff of 2023-09-30.
Gemini 2.5 Flash-Lite has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to o1-pro (2023-09-30).
Jan 2025
1.3 yr newerSep 2023
Outputs Comparison
Key Takeaways
o1-pro
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemini 2.5 Flash-Lite vs o1-pro.