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Gemma 3n E2B Instructed vs GLM-5.3-Flash

Comparing Gemma 3n E2B Instructed and GLM-5.3-Flash across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemma 3n E2B Instructed and GLM-5.3-Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed

  • you are already invested in the Google ecosystem

Choose GLM-5.3-Flash

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

At a glance

The differences that matter most.

Gemma 3n E2B Instructed
Google
GLM-5.3-Flash
Zhipu AI
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.50 / M
Context window
—
1,000,000
Released
Jun 2025
Aug 2026
License
Proprietary
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B Instructed and GLM-5.3-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

312.0B diff

GLM-5.3-Flash has 312.0B more parameters than Gemma 3n E2B Instructed, making it 3900.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Zhipu AI
GLM-5.3-Flash
320.0Bparameters
8.0B
Gemma 3n E2B Instructed
320.0B
GLM-5.3-Flash

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,000,000 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and GLM-5.3-Flash 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-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 14 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.2 years ago

GLM-5.3-Flash

Aug 26, 2026

0 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while GLM-5.3-Flash'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-5.3-Flash's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

GLM-5.3-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed vs GLM-5.3-Flash.

Which is better, Gemma 3n E2B Instructed or GLM-5.3-Flash?

Gemma 3n E2B Instructed (Google) and GLM-5.3-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 E2B Instructed compare to GLM-5.3-Flash 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%. GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%.

What are the context window sizes for Gemma 3n E2B Instructed and GLM-5.3-Flash?

Gemma 3n E2B Instructed supports an unknown number of tokens and GLM-5.3-Flash supports 1.0M 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-5.3-Flash?

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-5.3-Flash?

Gemma 3n E2B Instructed is developed by Google and GLM-5.3-Flash is developed by Zhipu AI.

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