Model Comparison

GLM-5 vs Gemini DiffusionWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks.

Verdict: GLM-5 vs Gemini Diffusion — which is better?

GLM-5 (by Zhipu AI) and Gemini Diffusion (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 (SWE-Bench Verified), while Gemini Diffusion 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
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini Diffusion if…

  • you are already invested in the Google ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Gemini Diffusion is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
Gemini Diffusion
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemini Diffusion uses a proprietary license.

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

GLM-5

MIT

Open weights

Gemini Diffusion

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemini Diffusion was released on 2025-05-20.

GLM-5 is 9 months newer than Gemini Diffusion.

GLM-5

Feb 11, 2026

4 months ago

8mo newer
Gemini Diffusion

May 20, 2025

1.1 years ago

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

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
Higher SWE-Bench Verified score (77.8% vs 22.9%)
Google

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
Gemini Diffusion

FAQ

Common questions about GLM-5 vs Gemini Diffusion.

Which is better, GLM-5 or Gemini Diffusion?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Gemini Diffusion is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to Gemini Diffusion in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%.

What are the context window sizes for GLM-5 and Gemini Diffusion?

GLM-5 supports 200K tokens and Gemini Diffusion supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Gemini Diffusion?

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

Who makes GLM-5 and Gemini Diffusion?

GLM-5 is developed by Zhipu AI and Gemini Diffusion is developed by Google.

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