Model Comparison
DiffusionGemma 26B-A4B vs GLM-5.2Which is better in 2026?
GLM-5.2 significantly outperforms across most benchmarks.
Verdict: DiffusionGemma 26B-A4B vs GLM-5.2 — which is better?
DiffusionGemma 26B-A4B (by Google) and GLM-5.2 (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.
DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while GLM-5.2 is better at 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam). GLM-5.2 significantly outperforms across most benchmarks.
Choose DiffusionGemma 26B-A4B if…
- you are already invested in the Google ecosystem
Choose GLM-5.2 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Jun 2026
Performance Benchmarks
Comparative analysis across standard metrics
DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while GLM-5.2 is better at 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam).
GLM-5.2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
GLM-5.2 has 727.8B more parameters than DiffusionGemma 26B-A4B, making it 2888.1% larger.
Context Window
Maximum input and output token capacity
Only GLM-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
DiffusionGemma 26B-A4B supports multimodal inputs, whereas GLM-5.2 does not.
DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DiffusionGemma 26B-A4B
GLM-5.2
License
Usage and distribution terms
DiffusionGemma 26B-A4B is licensed under Apache 2.0, while GLM-5.2 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DiffusionGemma 26B-A4B was released on 2026-06-10, while GLM-5.2 was released on 2026-06-16.
GLM-5.2 is 0 month newer than DiffusionGemma 26B-A4B.
Jun 10, 2026
1 months ago
Jun 16, 2026
1 months ago
6d newerKnowledge Cutoff
When training data ends
DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while GLM-5.2'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-5.2's cutoff date.
Jan 2025
—
Outputs Comparison
Key Takeaways
GLM-5.2
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DiffusionGemma 26B-A4B and GLM-5.2 side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about DiffusionGemma 26B-A4B vs GLM-5.2.