Model Comparison

GLM-4.5-Air vs Qwen2.5 7B 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 7B Instruct is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

98.4B diff

GLM-4.5-Air has 98.4B more parameters than Qwen2.5 7B Instruct, making it 1292.9% larger.

GLM-4.5-Air

106.0Bparameters

Qwen2.5 7B Instruct

7.6Bparameters

106.0B

GLM-4.5-Air

7.6B

Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

GLM-4.5-Air

Input- tokens

Output- tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Mon May 25 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Qwen2.5 7B 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 7B 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 7B Instruct was released on 2024-09-19.

GLM-4.5-Air is 10 months newer than Qwen2.5 7B Instruct.

GLM-4.5-Air

Jul 28, 2025

10 months ago

10mo newer

Qwen2.5 7B Instruct

Sep 19, 2024

1.7 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 36.4%)

Higher LiveCodeBench score (70.7% vs 28.7%)

Higher MMLU-Pro score (81.4% vs 56.3%)

Qwen2.5 7B 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 7B Instruct

FAQ

Common questions about GLM-4.5-Air vs Qwen2.5 7B Instruct.

Which is better, GLM-4.5-Air or Qwen2.5 7B Instruct?

GLM-4.5-Air significantly outperforms across most benchmarks. GLM-4.5-Air is made by Zhipu AI and Qwen2.5 7B 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 7B 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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for GLM-4.5-Air and Qwen2.5 7B Instruct?

GLM-4.5-Air supports an unknown number of tokens and Qwen2.5 7B 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 7B Instruct?

Key differences include 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 7B Instruct?

GLM-4.5-Air is developed by Zhipu AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.