Model Comparison

DiffusionGemma 26B-A4B vs GLM-5V-TurboWhich is better in 2026?

Comparing DiffusionGemma 26B-A4B and GLM-5V-Turbo across benchmarks, pricing, and capabilities.

Verdict: DiffusionGemma 26B-A4B vs GLM-5V-Turbo — which is better?

DiffusionGemma 26B-A4B (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 DiffusionGemma 26B-A4B if…

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

DiffusionGemma 26B-A4B 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
DiffusionGemma 26B-A4B
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 DiffusionGemma 26B-A4B and GLM-5V-Turbo support multimodal inputs.

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

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B 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.

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while GLM-5V-Turbo was released on 2026-04-02.

DiffusionGemma 26B-A4B is 2 months newer than GLM-5V-Turbo.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

2mo newer
GLM-5V-Turbo

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while GLM-5V-Turbo's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without GLM-5V-Turbo's cutoff date.

DiffusionGemma 26B-A4B

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 DiffusionGemma 26B-A4B and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about DiffusionGemma 26B-A4B vs GLM-5V-Turbo.

Which is better, DiffusionGemma 26B-A4B or GLM-5V-Turbo?

DiffusionGemma 26B-A4B (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 DiffusionGemma 26B-A4B compare to GLM-5V-Turbo in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. 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 DiffusionGemma 26B-A4B and GLM-5V-Turbo?

DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B and GLM-5V-Turbo?

DiffusionGemma 26B-A4B is developed by Google and GLM-5V-Turbo is developed by Zhipu AI.

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