Model Comparison

Gemma 4 E2B vs GLM-5V-TurboWhich is better in 2026?

Comparing Gemma 4 E2B and GLM-5V-Turbo across benchmarks, pricing, and capabilities.

Verdict: Gemma 4 E2B vs GLM-5V-Turbo — which is better?

Gemma 4 E2B (by Google) and GLM-5V-Turbo (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 4 E2B if…

  • you need open weights you can self-host or fine-tune

Choose GLM-5V-Turbo if…

  • you want predictable pricing at $1.20/M input and $4.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 4 E2B and GLM-5V-Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 4 E2B and GLM-5V-Turbo support multimodal inputs.

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

Gemma 4 E2B

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while GLM-5V-Turbo uses a proprietary license.

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

Gemma 4 E2B

Apache 2.0

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Both models were released on 2026-04-02.

They likely represent similar generations of model development.

Gemma 4 E2B

Apr 2, 2026

3 months ago

GLM-5V-Turbo

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while GLM-5V-Turbo's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without GLM-5V-Turbo's cutoff date.

Gemma 4 E2B

Jan 2025

GLM-5V-Turbo

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Has open weights
Zhipu AI
Larger context window (200,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 E2B and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 E2B
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about Gemma 4 E2B vs GLM-5V-Turbo.

Which is better, Gemma 4 E2B or GLM-5V-Turbo?

Gemma 4 E2B (Google) and GLM-5V-Turbo (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 4 E2B compare to GLM-5V-Turbo in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

What are the context window sizes for Gemma 4 E2B and GLM-5V-Turbo?

Gemma 4 E2B supports an unknown number of tokens and GLM-5V-Turbo supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 E2B and GLM-5V-Turbo?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and GLM-5V-Turbo?

Gemma 4 E2B is developed by Google and GLM-5V-Turbo is developed by Zhipu AI.

Related comparisons