Gemini Diffusion vs GLM-4.7 Comparison
Comparing Gemini Diffusion and GLM-4.7 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini Diffusion outperforms in 0 benchmarks, while GLM-4.7 is better at 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified).
GLM-4.7 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 GLM-4.7 specifies input context (202,800 tokens). Only GLM-4.7 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
GLM-4.7 supports multimodal inputs, whereas Gemini Diffusion does not.
GLM-4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini Diffusion
GLM-4.7
License
Usage and distribution terms
Gemini Diffusion is licensed under a proprietary license, while GLM-4.7 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini Diffusion was released on 2025-05-20, while GLM-4.7 was released on 2025-12-22.
GLM-4.7 is 7 months newer than Gemini Diffusion.
May 20, 2025
10 months ago
Dec 22, 2025
2 months ago
7mo 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
GLM-4.7
View detailsZhipu AI
Detailed Comparison
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