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
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
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
1.3 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