Model Comparison

Gemma 3n E4B Instructed LiteRT Preview vs GLM-4.5Which is better in 2026?

GLM-4.5 significantly outperforms across most benchmarks.

Verdict: Gemma 3n E4B Instructed LiteRT Preview vs GLM-4.5 — which is better?

Gemma 3n E4B Instructed LiteRT Preview (by Google) and GLM-4.5 (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.

Gemma 3n E4B Instructed LiteRT Preview outperforms in 0 benchmarks, while GLM-4.5 is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro). GLM-4.5 significantly outperforms across most benchmarks.

Choose Gemma 3n E4B Instructed LiteRT Preview if…

  • you are already invested in the Google ecosystem

Choose GLM-4.5 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E4B Instructed LiteRT Preview outperforms in 0 benchmarks, while GLM-4.5 is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro).

GLM-4.5 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

353.1B diff

GLM-4.5 has 353.1B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 18486.4% larger.

Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
Zhipu AI
GLM-4.5
355.0Bparameters
1.9B
Gemma 3n E4B Instructed LiteRT Preview
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 Instructed LiteRT Preview
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemma 3n E4B Instructed LiteRT Preview

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed LiteRT Preview is licensed under Gemma, 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 Instructed LiteRT Preview

Gemma

Open weights

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 2 months newer than Gemma 3n E4B Instructed LiteRT Preview.

Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

1.2 years ago

GLM-4.5

Jul 28, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed LiteRT Preview 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 Instructed LiteRT Preview's training data extends to 2024-06-01, but cannot make a direct comparison without GLM-4.5's cutoff date.

Gemma 3n E4B Instructed LiteRT Preview

Jun 2024

GLM-4.5

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Zhipu AI
Larger context window (131,072 tokens)
Higher GPQA score (79.1% vs 23.7%)
Higher LiveCodeBench score (72.9% vs 13.2%)
Higher MMLU-Pro score (84.6% vs 50.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E4B Instructed LiteRT Preview and GLM-4.5 side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed LiteRT Preview
✓ Preferred
GLM-4.5
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed LiteRT Preview
Zhipu AI
GLM-4.5

FAQ

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

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

GLM-4.5 significantly outperforms across most benchmarks. Gemma 3n E4B Instructed LiteRT Preview is made by Google and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

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

Gemma 3n E4B Instructed LiteRT Preview scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, HumanEval: 75.0%. 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 Instructed LiteRT Preview and GLM-4.5?

Gemma 3n E4B Instructed LiteRT Preview 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 Instructed LiteRT Preview and GLM-4.5?

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

Who makes Gemma 3n E4B Instructed LiteRT Preview and GLM-4.5?

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

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