Model Comparison

Gemma 3n E2B Instructed vs GLM-4.5V

Comparing Gemma 3n E2B Instructed and GLM-4.5V across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B Instructed and GLM-4.5V 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

100.0B diff

GLM-4.5V has 100.0B more parameters than Gemma 3n E2B Instructed, making it 1250.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
8.0B
Gemma 3n E2B Instructed
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 E2B Instructed
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Mon May 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and GLM-4.5V support multimodal inputs.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed 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 E2B Instructed

Proprietary

Closed source

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed 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 E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

10 months ago

GLM-4.5V

Aug 11, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while GLM-4.5V's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without GLM-4.5V's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

GLM-4.5V

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Outputs Comparison

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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 E2B Instructed
Zhipu AI
GLM-4.5V

FAQ

Common questions about Gemma 3n E2B Instructed vs GLM-4.5V.

Which is better, Gemma 3n E2B Instructed or GLM-4.5V?

Gemma 3n E2B Instructed (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 E2B Instructed compare to GLM-4.5V in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%.

What are the context window sizes for Gemma 3n E2B Instructed and GLM-4.5V?

Gemma 3n E2B Instructed 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 E2B Instructed 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 E2B Instructed and GLM-4.5V?

Gemma 3n E2B Instructed is developed by Google and GLM-4.5V is developed by Zhipu AI.