Model Comparison

GLM-5 vs Gemma 4 E4BWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks.

Verdict: GLM-5 vs Gemma 4 E4B — which is better?

GLM-5 (by Zhipu AI) and Gemma 4 E4B (by Google) 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.

GLM-5 outperforms in 1 benchmarks (t2-bench), while Gemma 4 E4B is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

Choose GLM-5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Gemma 4 E4B if…

  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (t2-bench), while Gemma 4 E4B is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sun Jul 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

736.0B diff

GLM-5 has 736.0B more parameters than Gemma 4 E4B, making it 9200.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Google
Gemma 4 E4B
8.0Bparameters
744.0B
GLM-5
8.0B
Gemma 4 E4B

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
Gemma 4 E4B
Input- tokens
Output- tokens
Sun Jul 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 4 E4B supports multimodal inputs, whereas GLM-5 does not.

Gemma 4 E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Gemma 4 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemma 4 E4B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Gemma 4 E4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemma 4 E4B was released on 2026-04-02.

Gemma 4 E4B is 2 months newer than GLM-5.

GLM-5

Feb 11, 2026

4 months ago

Gemma 4 E4B

Apr 2, 2026

3 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E4B has a documented knowledge cutoff of 2025-01-01, while GLM-5's cutoff date is not specified.

We can confirm Gemma 4 E4B's training data extends to 2025-01-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Gemma 4 E4B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher t2-bench score (89.7% vs 57.5%)
Google
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-5 and Gemma 4 E4B side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
Gemma 4 E4B
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
Gemma 4 E4B

FAQ

Common questions about GLM-5 vs Gemma 4 E4B.

Which is better, GLM-5 or Gemma 4 E4B?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Gemma 4 E4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to Gemma 4 E4B in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.

What are the context window sizes for GLM-5 and Gemma 4 E4B?

GLM-5 supports 200K tokens and Gemma 4 E4B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Gemma 4 E4B?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Gemma 4 E4B?

GLM-5 is developed by Zhipu AI and Gemma 4 E4B is developed by Google.

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