Model Comparison

GPT-5.4 vs GLM-4.5-AirWhich is better in 2026?

GPT-5.4 significantly outperforms across most benchmarks.

Verdict: GPT-5.4 vs GLM-4.5-Air — which is better?

GPT-5.4 (by OpenAI) 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.

GPT-5.4 outperforms in 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam), while GLM-4.5-Air is better at 0 benchmarks. GPT-5.4 significantly outperforms across most benchmarks.

Choose GPT-5.4 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Mar 2026

Choose GLM-4.5-Air if…

  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5.4 outperforms in 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam), while GLM-4.5-Air is better at 0 benchmarks.

GPT-5.4 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 GPT-5.4 specifies input context (1,000,000 tokens). Only GPT-5.4 specifies output context (128,000 tokens).

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.4 supports multimodal inputs, whereas GLM-4.5-Air does not.

GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.4

Text
Images
Audio
Video

GLM-4.5-Air

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 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.

GPT-5.4

Proprietary

Closed source

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while GLM-4.5-Air was released on 2025-07-28.

GPT-5.4 is 7 months newer than GLM-4.5-Air.

GPT-5.4

Mar 5, 2026

3 months ago

7mo newer
GLM-4.5-Air

Jul 28, 2025

10 months 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

OpenAI
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher BrowseComp score (82.7% vs 21.3%)
Higher GPQA score (92.8% vs 75.0%)
Higher Humanity's Last Exam score (39.8% vs 10.6%)
Zhipu AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
Zhipu AI
GLM-4.5-Air

FAQ

Common questions about GPT-5.4 vs GLM-4.5-Air.

Which is better, GPT-5.4 or GLM-4.5-Air?

GPT-5.4 significantly outperforms across most benchmarks. GPT-5.4 is made by OpenAI 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 GPT-5.4 compare to GLM-4.5-Air in benchmarks?

GPT-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. 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 GPT-5.4 and GLM-4.5-Air?

GPT-5.4 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 GPT-5.4 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 GPT-5.4 and GLM-4.5-Air?

GPT-5.4 is developed by OpenAI and GLM-4.5-Air is developed by Zhipu AI.

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