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GLM-4.5-Air vs Grok 4.6

GLM-4.5-Air significantly outperforms across most benchmarks.

Zhipu AI · xAI · Updated for 2026

Which is better?

GLM-4.5-Air outperforms in 1 benchmarks (AA-Index), while Grok 4.6 is better at 0 benchmarks. GLM-4.5-Air significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-4.5-Air

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you need open weights you can self-host or fine-tune

Choose Grok 4.6

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

GLM-4.5-Air
Zhipu AI
Grok 4.6
xAI
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
500,000
Released
Jul 2025
Aug 2026
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-4.5-Air outperforms in 1 benchmarks (AA-Index), while Grok 4.6 is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Grok 4.6 specifies input context (500,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
xAI
Grok 4.6
Input500,000 tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok 4.6 supports multimodal inputs, whereas GLM-4.5-Air does not.

Grok 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5-Air

Text
Images
Audio
Video

Grok 4.6

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Grok 4.6 uses a proprietary license.

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

GLM-4.5-Air

MIT

Open weights

Grok 4.6

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Grok 4.6 was released on 2026-08-12.

Grok 4.6 is 13 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

Grok 4.6

Aug 12, 2026

1 weeks ago

1.0yr newer

Knowledge Cutoff

When training data ends

Grok 4.6 has a documented knowledge cutoff of 2026-02-01, while GLM-4.5-Air's cutoff date is not specified.

We can confirm Grok 4.6's training data extends to 2026-02-01, but cannot make a direct comparison without GLM-4.5-Air's cutoff date.

GLM-4.5-Air

—

Grok 4.6

Feb 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-4.5-Air and Grok 4.6 side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Grok 4.6
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs Grok 4.6.

Which is better, GLM-4.5-Air or Grok 4.6?

GLM-4.5-Air significantly outperforms across most benchmarks. GLM-4.5-Air is made by Zhipu AI and Grok 4.6 is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.5-Air compare to Grok 4.6 in benchmarks?

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%. Grok 4.6 scores CursorBench v3.2: 69.9%, DeepSWE 1.1: 65.9%, FrontierCode: 61.3%, AA-Index: 61.0%, GDPval-AA: 58.4%.

What are the context window sizes for GLM-4.5-Air and Grok 4.6?

GLM-4.5-Air supports an unknown number of tokens and Grok 4.6 supports 500K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.5-Air and Grok 4.6?

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-4.5-Air and Grok 4.6?

GLM-4.5-Air is developed by Zhipu AI and Grok 4.6 is developed by xAI.

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