Model Comparison

GLM-5 vs o1-proWhich is better in 2026?

Comparing GLM-5 and o1-pro across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs o1-pro — which is better?

GLM-5 (by Zhipu AI) and o1-pro (by OpenAI) 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.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose o1-pro if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and o1-pro don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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
OpenAI
o1-pro
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o1-pro supports multimodal inputs, whereas GLM-5 does not.

o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

o1-pro

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while o1-pro 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

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while o1-pro was released on 2024-12-17.

GLM-5 is 14 months newer than o1-pro.

GLM-5

Feb 11, 2026

3 months ago

1.2yr newer
o1-pro

Dec 17, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while GLM-5's cutoff date is not specified.

We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

o1-pro

Sep 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
OpenAI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
o1-pro

FAQ

Common questions about GLM-5 vs o1-pro.

Which is better, GLM-5 or o1-pro?

GLM-5 (Zhipu AI) and o1-pro (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to o1-pro 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%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for GLM-5 and o1-pro?

GLM-5 supports 200K tokens and o1-pro 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 o1-pro?

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

Who makes GLM-5 and o1-pro?

GLM-5 is developed by Zhipu AI and o1-pro is developed by OpenAI.

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