Model Comparison

DiffusionGemma 26B-A4B vs GLM-5.1Which is better in 2026?

GLM-5.1 significantly outperforms across most benchmarks.

Verdict: DiffusionGemma 26B-A4B vs GLM-5.1 — which is better?

DiffusionGemma 26B-A4B (by Google) and GLM-5.1 (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-5.1 is better at 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam). GLM-5.1 significantly outperforms across most benchmarks.

Choose DiffusionGemma 26B-A4B if…

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

Choose GLM-5.1 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while GLM-5.1 is better at 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam).

GLM-5.1 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

728.8B diff

GLM-5.1 has 728.8B more parameters than DiffusionGemma 26B-A4B, making it 2892.1% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Zhipu AI
GLM-5.1
754.0Bparameters
25.2B
DiffusionGemma 26B-A4B
754.0B
GLM-5.1

Context Window

Maximum input and output token capacity

Only GLM-5.1 specifies input context (200,000 tokens). Only GLM-5.1 specifies output context (128,000 tokens).

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Zhipu AI
GLM-5.1
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DiffusionGemma 26B-A4B supports multimodal inputs, whereas GLM-5.1 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

Text
Images
Audio
Video

GLM-5.1

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while GLM-5.1 uses MIT.

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-5.1

MIT

Open weights

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while GLM-5.1 was released on 2026-04-07.

DiffusionGemma 26B-A4B is 2 months newer than GLM-5.1.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

2mo newer
GLM-5.1

Apr 7, 2026

3 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while GLM-5.1'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-5.1's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

GLM-5.1

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Zhipu AI
Larger context window (200,000 tokens)
Higher AIME 2026 score (95.3% vs 69.1%)
Higher GPQA score (86.2% vs 73.2%)
Higher Humanity's Last Exam score (52.3% vs 11.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and GLM-5.1 side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
GLM-5.1
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Zhipu AI
GLM-5.1

FAQ

Common questions about DiffusionGemma 26B-A4B vs GLM-5.1.

Which is better, DiffusionGemma 26B-A4B or GLM-5.1?

GLM-5.1 significantly outperforms across most benchmarks. DiffusionGemma 26B-A4B is made by Google and GLM-5.1 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DiffusionGemma 26B-A4B compare to GLM-5.1 in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. GLM-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.

What are the context window sizes for DiffusionGemma 26B-A4B and GLM-5.1?

DiffusionGemma 26B-A4B supports an unknown number of tokens and GLM-5.1 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-5.1?

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

Who makes DiffusionGemma 26B-A4B and GLM-5.1?

DiffusionGemma 26B-A4B is developed by Google and GLM-5.1 is developed by Zhipu AI.

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