The AI arena is free today

Open Superagent

GLM-4.5-Air vs GPT-6.1 Sol

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 23.9.

Zhipu AI · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.6 to 23.9, ranking #7 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-6.1 Sol

  • overall performance matters — it scores 53.6 and ranks #7 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-6.1 Sol
OpenAI
Core performance indexes
LLM Stats Score
23.9
#189
53.6
#7
Reasoning
23.3
#187
51.6
#8
Coding
10.8
#183
38.6
#19
Agents
5.7
#165
37.9
#13
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

2 shared
Index
GLM-4.5-Air
GPT-6.1 Sol
Math
22.0#151
34.9#48
Tool use
20.0#71
22.8#52
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 17 for GPT-6.1 Sol

No common benchmarks found

GLM-4.5-Air and GPT-6.1 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-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Sol supports multimodal inputs, whereas GLM-4.5-Air does not.

GPT-6.1 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-6.1 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while GPT-6.1 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-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while GPT-6.1 Sol was released on 2026-09-29.

GPT-6.1 Sol is 14 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.2 years ago

GPT-6.1 Sol

Sep 29, 2026

3 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while GLM-4.5-Air's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without GLM-4.5-Air's cutoff date.

GLM-4.5-Air

—

GPT-6.1 Sol

Apr 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-4.5-Air and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs GPT-6.1 Sol.

Which is better, GLM-4.5-Air or GPT-6.1 Sol?

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 23.9. GLM-4.5-Air is made by Zhipu AI and GPT-6.1 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-6.1 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-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%.

What are the context window sizes for GLM-4.5-Air and GPT-6.1 Sol?

GLM-4.5-Air supports an unknown number of tokens and GPT-6.1 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-6.1 Sol?

Key differences include LLM Stats Score (23.9 vs 53.6), 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-6.1 Sol?

GLM-4.5-Air is developed by Zhipu AI and GPT-6.1 Sol is developed by OpenAI.

Related comparisons