GPT-4 Turbo vs Gemini 2.0 Flash Thinking Comparison
Comparing GPT-4 Turbo and Gemini 2.0 Flash Thinking across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 0 benchmarks, while Gemini 2.0 Flash Thinking is better at 1 benchmark (GPQA).
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-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
Gemini 2.0 Flash Thinking supports multimodal inputs, whereas GPT-4 Turbo does not.
Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
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-4 Turbo was released on 2024-04-09, while Gemini 2.0 Flash Thinking was released on 2025-01-21.
Gemini 2.0 Flash Thinking is 10 months newer than GPT-4 Turbo.
Apr 9, 2024
1.9 years ago
Jan 21, 2025
1.2 years ago
9mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a knowledge cutoff of 2023-12-31, 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-4 Turbo (2023-12-31).
Dec 2023
Aug 2024
8 mo newerOutputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Detailed Comparison
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