Model Comparison

Gemini 2.5 Pro vs GLM-4.5-AirWhich is better in 2026?

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 2.5 Pro vs GLM-4.5-Air — which is better?

Gemini 2.5 Pro (by Google) and GLM-4.5-Air (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 2.5 Pro outperforms in 4 benchmarks (AIME 2024, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.5-Air is better at 0 benchmarks. Gemini 2.5 Pro significantly outperforms across most benchmarks.

Choose Gemini 2.5 Pro if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Choose GLM-4.5-Air if…

  • 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

4 benchmarks

Gemini 2.5 Pro outperforms in 4 benchmarks (AIME 2024, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.5-Air is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas GLM-4.5-Air does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

GLM-4.5-Air

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while GLM-4.5-Air uses MIT.

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

Gemini 2.5 Pro

Proprietary

Closed source

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 2 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

1.0 years ago

GLM-4.5-Air

Jul 28, 2025

10 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-4.5-Air's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-4.5-Air's cutoff date.

Gemini 2.5 Pro

Jan 2025

GLM-4.5-Air

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher AIME 2024 score (92.0% vs 89.4%)
Higher GPQA score (83.0% vs 75.0%)
Higher Humanity's Last Exam score (17.8% vs 10.6%)
Higher SWE-Bench Verified score (63.2% vs 57.6%)
Zhipu AI
Has open weights
GoogleGemini 2.5 Pro
Zhipu AIGLM-4.5-Air
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Zhipu AI
GLM-4.5-Air

FAQ

Common questions about Gemini 2.5 Pro vs GLM-4.5-Air.

Which is better, Gemini 2.5 Pro or GLM-4.5-Air?

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and GLM-4.5-Air is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro compare to GLM-4.5-Air in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%.

What are the context window sizes for Gemini 2.5 Pro and GLM-4.5-Air?

Gemini 2.5 Pro supports 1.0M tokens and GLM-4.5-Air 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 Gemini 2.5 Pro and GLM-4.5-Air?

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

Who makes Gemini 2.5 Pro and GLM-4.5-Air?

Gemini 2.5 Pro is developed by Google and GLM-4.5-Air is developed by Zhipu AI.

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