Model Comparison

Gemma 3n E4B vs GLM-4.5VWhich is better in 2026?

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

Verdict: Gemma 3n E4B vs GLM-4.5V — which is better?

Gemma 3n E4B (by Google) and GLM-4.5V (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemma 3n E4B if…

  • you are already invested in the Google ecosystem

Choose GLM-4.5V if…

  • you want the most recent training data — it shipped Aug 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and GLM-4.5Vdon'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

100.0B diff

GLM-4.5V has 100.0B more parameters than Gemma 3n E4B, making it 1250.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
8.0B
Gemma 3n E4B
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

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

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B and GLM-4.5V support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E4B

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while GLM-4.5V 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-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 2 months newer than Gemma 3n E4B.

Gemma 3n E4B

Jun 26, 2025

11 months ago

GLM-4.5V

Aug 11, 2025

10 months ago

1mo newer

Knowledge Cutoff

When training data ends

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

Gemma 3n E4B

Jun 2024

GLM-4.5V

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

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-4.5V

FAQ

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

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

Gemma 3n E4B (Google) and GLM-4.5V (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-4.5V in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%.

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

Gemma 3n E4B supports an unknown number of tokens and GLM-4.5V 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-4.5V?

Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and GLM-4.5V?

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

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