Model Comparison

Gemini Diffusion vs GLM-4.5Which is better in 2026?

GLM-4.5 significantly outperforms across most benchmarks.

Verdict: Gemini Diffusion vs GLM-4.5 — which is better?

Gemini Diffusion (by Google) and GLM-4.5 (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.

Gemini Diffusion outperforms in 0 benchmarks, while GLM-4.5 is better at 3 benchmarks (GPQA, LiveCodeBench, SWE-Bench Verified). GLM-4.5 significantly outperforms across most benchmarks.

Choose Gemini Diffusion if…

  • you are already invested in the Google ecosystem

Choose GLM-4.5 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini Diffusion outperforms in 0 benchmarks, while GLM-4.5 is better at 3 benchmarks (GPQA, LiveCodeBench, SWE-Bench Verified).

GLM-4.5 significantly outperforms across most benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GLM-4.5 specifies input context (131,072 tokens). Only GLM-4.5 specifies output context (131,072 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Sun Jun 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while GLM-4.5 uses MIT.

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

Gemini Diffusion

Proprietary

Closed source

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 2 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

1.1 years ago

GLM-4.5

Jul 28, 2025

10 months ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Zhipu AI
Larger context window (131,072 tokens)
Has open weights
Higher GPQA score (79.1% vs 40.4%)
Higher LiveCodeBench score (72.9% vs 30.9%)
Higher SWE-Bench Verified score (64.2% vs 22.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
Zhipu AI
GLM-4.5

FAQ

Common questions about Gemini Diffusion vs GLM-4.5.

Which is better, Gemini Diffusion or GLM-4.5?

GLM-4.5 significantly outperforms across most benchmarks. Gemini Diffusion is made by Google and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini Diffusion compare to GLM-4.5 in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

What are the context window sizes for Gemini Diffusion and GLM-4.5?

Gemini Diffusion supports an unknown number of tokens and GLM-4.5 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini Diffusion and GLM-4.5?

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

Who makes Gemini Diffusion and GLM-4.5?

Gemini Diffusion is developed by Google and GLM-4.5 is developed by Zhipu AI.

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