Model Comparison
Gemini 1.0 Pro vs o1-pro
o1-pro significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.0 Pro 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 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
o1-pro supports multimodal inputs, whereas Gemini 1.0 Pro does not.
o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 Pro
o1-pro
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
Gemini 1.0 Pro was released on 2024-02-15, while o1-pro was released on 2024-12-17.
o1-pro is 10 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.2 years ago
Dec 17, 2024
1.4 years ago
10mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while o1-pro has a cutoff of 2023-09-30.
Gemini 1.0 Pro has more recent training data (up to 2024-02-01), making it potentially better informed about events through that date compared to o1-pro (2023-09-30).
Feb 2024
5 mo newerSep 2023
Outputs Comparison
Key Takeaways
o1-pro
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemini 1.0 Pro vs o1-pro