Model Comparison

Gemma 3n E4B vs GLM-4.5

Comparing Gemma 3n E4B and GLM-4.5 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and GLM-4.5 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

347.0B diff

GLM-4.5 has 347.0B more parameters than Gemma 3n E4B, making it 4337.5% larger.

Google
Gemma 3n E4B
8.0Bparameters
Zhipu AI
GLM-4.5
355.0Bparameters
8.0B
Gemma 3n E4B
355.0B
GLM-4.5

Context Window

Maximum input and output token capacity

Only GLM-4.5 specifies input context (131,072 tokens). Only GLM-4.5 specifies output context (131,072 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas GLM-4.5 does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while GLM-4.5 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E4B

Proprietary

Closed source

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 1 month newer than Gemma 3n E4B.

Gemma 3n E4B

Jun 26, 2025

10 months ago

GLM-4.5

Jul 28, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while GLM-4.5'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-4.5's cutoff date.

Gemma 3n E4B

Jun 2024

GLM-4.5

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Zhipu AI
Larger context window (131,072 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Zhipu AI
GLM-4.5

FAQ

Common questions about Gemma 3n E4B vs GLM-4.5.

Which is better, Gemma 3n E4B or GLM-4.5?

Gemma 3n E4B (Google) and GLM-4.5 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E4B compare to GLM-4.5 in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

What are the context window sizes for Gemma 3n E4B and GLM-4.5?

Gemma 3n E4B supports an unknown number of tokens and GLM-4.5 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B and GLM-4.5?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and GLM-4.5?

Gemma 3n E4B is developed by Google and GLM-4.5 is developed by Zhipu AI.