Gemma 3n E4B vs GLM-4.7 Comparison
Comparing Gemma 3n E4B and GLM-4.7 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B and GLM-4.7 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
GLM-4.7 has 350.0B more parameters than Gemma 3n E4B, making it 4375.0% larger.
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
Both Gemma 3n E4B and GLM-4.7 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B
GLM-4.7
License
Usage and distribution terms
Gemma 3n E4B 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
Gemma 3n E4B was released on 2025-06-26, while GLM-4.7 was released on 2025-12-22.
GLM-4.7 is 6 months newer than Gemma 3n E4B.
Jun 26, 2025
8 months ago
Dec 22, 2025
2 months ago
5mo newerKnowledge Cutoff
When training data ends
Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while GLM-4.7's cutoff date is not specified.
We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without GLM-4.7's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Gemma 3n E4B
View detailsGLM-4.7
View detailsZhipu AI
Detailed Comparison
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