Model Comparison
GPT-4o mini vs Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini outperforms in 0 benchmarks, while Gemini 2.0 Flash Thinking is better at 2 benchmarks (GPQA, MMMU).
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 GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4o mini and Gemini 2.0 Flash Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o mini
Gemini 2.0 Flash Thinking
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
GPT-4o mini was released on 2024-07-18, while Gemini 2.0 Flash Thinking was released on 2025-01-21.
Gemini 2.0 Flash Thinking is 6 months newer than GPT-4o mini.
Jul 18, 2024
1.7 years ago
Jan 21, 2025
1.2 years ago
6mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a knowledge cutoff of 2023-10-01, while Gemini 2.0 Flash Thinking has a cutoff of 2024-08-01.
Gemini 2.0 Flash Thinking has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-4o mini (2023-10-01).
Oct 2023
Aug 2024
10 mo newerOutputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about GPT-4o mini vs Gemini 2.0 Flash Thinking