Model Comparison
GLM-5 vs DiffusionGemma 26B-A4BWhich is better in 2026?
GLM-5 significantly outperforms across most benchmarks.
Verdict: GLM-5 vs DiffusionGemma 26B-A4B — which is better?
GLM-5 (by Zhipu AI) and DiffusionGemma 26B-A4B (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 DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B if…
- you want the most recent training data — it shipped Jun 2026
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 1 benchmarks (t2-bench), while DiffusionGemma 26B-A4B is better at 0 benchmarks.
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
GLM-5 has 718.8B more parameters than DiffusionGemma 26B-A4B, making it 2852.4% larger.
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).
Input Capabilities
Supported data types and modalities
DiffusionGemma 26B-A4B supports multimodal inputs, whereas GLM-5 does not.
DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
DiffusionGemma 26B-A4B
License
Usage and distribution terms
GLM-5 is licensed under MIT, while DiffusionGemma 26B-A4B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while DiffusionGemma 26B-A4B was released on 2026-06-10.
DiffusionGemma 26B-A4B is 4 months newer than GLM-5.
Feb 11, 2026
3 months ago
Jun 10, 2026
0 days ago
3mo newerKnowledge Cutoff
When training data ends
DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while GLM-5'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's cutoff date.
—
Jan 2025
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about GLM-5 vs DiffusionGemma 26B-A4B.