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GLM-4.5-Air vs Qwen2.5 32B Instruct

GLM-4.5-Air leads the LLM Stats Score 24.4 to 7.7.

Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GLM-4.5-Air leads the overall LLM Stats Score 24.4 to 7.7, ranking #163 overall.

In the 2 individual benchmarks reported for both models, GLM-4.5-Air wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose GLM-4.5-Air

  • overall performance matters — it scores 24.4 and ranks #163 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jul 2025

Choose Qwen2.5 32B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
24.4
#163
7.7
#283
23.8
#161
7.2
#282
11.4
#155
9.4
#171
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-4.5-Air
Qwen2.5 32B Instruct
22.5#136
16.4#206
26.6#43
9.3#150
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 18 for Qwen2.5 32B Instruct

2 shared

GLM-4.5-Air outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 32B Instruct is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

73.5B diff

GLM-4.5-Air has 73.5B more parameters than Qwen2.5 32B Instruct, making it 226.2% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
106.0B
GLM-4.5-Air
32.5B
Qwen2.5 32B Instruct

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Qwen2.5 32B Instruct uses Apache 2.0.

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

GLM-4.5-Air

MIT

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Qwen2.5 32B Instruct was released on 2024-09-19.

GLM-4.5-Air is 10 months newer than Qwen2.5 32B Instruct.

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

10mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.0 years 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

Judge for yourself.

Run your own prompts against GLM-4.5-Air and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs Qwen2.5 32B Instruct.

Which is better, GLM-4.5-Air or Qwen2.5 32B Instruct?

GLM-4.5-Air leads the LLM Stats Score 24.4 to 7.7. GLM-4.5-Air is made by Zhipu AI and Qwen2.5 32B Instruct is made by Alibaba Cloud / Qwen Team. 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 Qwen2.5 32B Instruct 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%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the main differences between GLM-4.5-Air and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (24.4 vs 7.7), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Qwen2.5 32B Instruct?

GLM-4.5-Air is developed by Zhipu AI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.