Gemini 2.0 Flash Thinking vs o1-mini Comparison
Comparing Gemini 2.0 Flash Thinking and o1-mini across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks.
Gemini 2.0 Flash Thinking 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 o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Gemini 2.0 Flash Thinking supports multimodal inputs, whereas o1-mini does not.
Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.0 Flash Thinking
o1-mini
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 2.0 Flash Thinking was released on 2025-01-21, while o1-mini was released on 2024-09-12.
Gemini 2.0 Flash Thinking is 4 months newer than o1-mini.
Jan 21, 2025
1.1 years ago
4mo newerSep 12, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while o1-mini's cutoff date is not specified.
We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without o1-mini's cutoff date.
Aug 2024
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Outputs Comparison
Key Takeaways
o1-mini
View detailsOpenAI
Detailed Comparison
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