Model Comparison

Gemma 3n E4B vs GLM-4.7-FlashWhich is better in 2026?

Comparing Gemma 3n E4B and GLM-4.7-Flash across benchmarks, pricing, and capabilities.

Verdict: Gemma 3n E4B vs GLM-4.7-Flash — which is better?

Gemma 3n E4B (by Google) and GLM-4.7-Flash (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-4.7-Flash if…

  • you want the most recent training data — it shipped Jan 2026
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and GLM-4.7-Flashdon'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

22.0B diff

GLM-4.7-Flash has 22.0B more parameters than Gemma 3n E4B, making it 275.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
Zhipu AI
GLM-4.7-Flash
30.0Bparameters
8.0B
Gemma 3n E4B
30.0B
GLM-4.7-Flash

Context Window

Maximum input and output token capacity

Only GLM-4.7-Flash specifies input context (128,000 tokens). Only GLM-4.7-Flash specifies output context (16,384 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas GLM-4.7-Flash 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-4.7-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while GLM-4.7-Flash 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-4.7-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while GLM-4.7-Flash was released on 2026-01-19.

GLM-4.7-Flash is 7 months newer than Gemma 3n E4B.

Gemma 3n E4B

Jun 26, 2025

1.1 years ago

GLM-4.7-Flash

Jan 19, 2026

6 months ago

6mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while GLM-4.7-Flash'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-Flash's cutoff date.

Gemma 3n E4B

Jun 2024

GLM-4.7-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Zhipu AI
Larger context window (128,000 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E4B and GLM-4.7-Flash side-by-side, then vote on the output you prefer.

Gemma 3n E4B
✓ Preferred
GLM-4.7-Flash
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Zhipu AI
GLM-4.7-Flash

FAQ

Common questions about Gemma 3n E4B vs GLM-4.7-Flash.

Which is better, Gemma 3n E4B or GLM-4.7-Flash?

Gemma 3n E4B (Google) and GLM-4.7-Flash (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-4.7-Flash in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%.

What are the context window sizes for Gemma 3n E4B and GLM-4.7-Flash?

Gemma 3n E4B supports an unknown number of tokens and GLM-4.7-Flash supports 128K 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-4.7-Flash?

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-4.7-Flash?

Gemma 3n E4B is developed by Google and GLM-4.7-Flash is developed by Zhipu AI.

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