Model Comparison

GLM-4.5-Air vs Qwen2.5 72B Instruct

GLM-4.5-Air significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-4.5-Air outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Qwen2.5 72B Instruct is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

33.3B diff

GLM-4.5-Air has 33.3B more parameters than Qwen2.5 72B Instruct, making it 45.8% larger.

GLM-4.5-Air

106.0Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

106.0B

GLM-4.5-Air

72.7B

Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

GLM-4.5-Air

Input- tokens

Output- tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Sat May 09 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

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 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Qwen2.5 72B Instruct was released on 2024-09-19.

GLM-4.5-Air is 10 months newer than Qwen2.5 72B Instruct.

GLM-4.5-Air

Jul 28, 2025

9 months ago

10mo newer

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 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→

Key Takeaways

GLM-4.5-Air

View details

Zhipu AI

Higher GPQA score (75.0% vs 49.0%)

Higher LiveCodeBench score (70.7% vs 55.5%)

Higher MMLU-Pro score (81.4% vs 71.1%)

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	GLM-4.5-Air	Qwen2.5 72B Instruct

FAQ

Common questions about GLM-4.5-Air vs Qwen2.5 72B Instruct.

Which is better, GLM-4.5-Air or Qwen2.5 72B Instruct?

GLM-4.5-Air significantly outperforms across most benchmarks. GLM-4.5-Air is made by Zhipu AI and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.5-Air compare to Qwen2.5 72B 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 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for GLM-4.5-Air and Qwen2.5 72B Instruct?

GLM-4.5-Air supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K 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 Qwen2.5 72B Instruct?

Key differences include licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Qwen2.5 72B Instruct?

GLM-4.5-Air is developed by Zhipu AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.