Model Comparison
Gemini Diffusion vs GPT-5.1 Thinking
GPT-5.1 Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini Diffusion outperforms in 0 benchmarks, while GPT-5.1 Thinking is better at 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified).
GPT-5.1 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-5.1 Thinking specifies input context (400,000 tokens). Only GPT-5.1 Thinking specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5.1 Thinking supports multimodal inputs, whereas Gemini Diffusion does not.
GPT-5.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini Diffusion
GPT-5.1 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
Gemini Diffusion was released on 2025-05-20, while GPT-5.1 Thinking was released on 2025-11-12.
GPT-5.1 Thinking is 6 months newer than Gemini Diffusion.
May 20, 2025
11 months ago
Nov 12, 2025
5 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini Diffusion vs GPT-5.1 Thinking