The AI arena is free today

Open Superagent

GLM-4.5-Air vs GPT-6 Sol

GPT-6 Sol leads the LLM Stats Score 49.4 to 24.4.

Zhipu AI · OpenAI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to 24.4, ranking #21 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5-Air

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

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GLM-4.5-Air
Zhipu AI
GPT-6 Sol
OpenAI
Core performance indexes
LLM Stats Score
24.4
#170
49.4
#21
Reasoning
23.8
#168
45.6
#29
Coding
11.4
#162
35.8
#25
Agents
5.9
#148
36.7
#15
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.5-Air
GPT-6 Sol
Tool use
20.1#55
26.6#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 5 for GPT-6 Sol

No common benchmarks found

GLM-4.5-Air and GPT-6 Soldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Sol supports multimodal inputs, whereas GLM-4.5-Air does not.

GPT-6 Sol 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

GPT-6 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while GPT-6 Sol 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

GPT-6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while GPT-6 Sol was released on 2026-09-22.

GPT-6 Sol is 14 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.2 years ago

GPT-6 Sol

Sep 22, 2026

0 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while GLM-4.5-Air's cutoff date is not specified.

We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without GLM-4.5-Air's cutoff date.

GLM-4.5-Air

—

GPT-6 Sol

Apr 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 GPT-6 Sol side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
GPT-6 Sol
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs GPT-6 Sol.

Which is better, GLM-4.5-Air or GPT-6 Sol?

GPT-6 Sol leads the LLM Stats Score 49.4 to 24.4. GLM-4.5-Air is made by Zhipu AI and GPT-6 Sol is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-4.5-Air compare to GPT-6 Sol 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%. GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%.

What are the context window sizes for GLM-4.5-Air and GPT-6 Sol?

GLM-4.5-Air supports an unknown number of tokens and GPT-6 Sol supports 1.1M 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 GPT-6 Sol?

Key differences include LLM Stats Score (24.4 vs 49.4), 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 GPT-6 Sol?

GLM-4.5-Air is developed by Zhipu AI and GPT-6 Sol is developed by OpenAI.

Related comparisons