Model Comparison

GLM-4.5-Air vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.

Verdict: GLM-4.5-Air vs Qwen3-235B-A22B-Instruct-2507 — which is better?

GLM-4.5-Air (by Zhipu AI) and Qwen3-235B-A22B-Instruct-2507 (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-4.5-Air outperforms in 1 benchmarks (BFCL-v3), while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.

Choose GLM-4.5-Air if…

  • you want the most recent training data — it shipped Jul 2025

Choose Qwen3-235B-A22B-Instruct-2507 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-4.5-Air outperforms in 1 benchmarks (BFCL-v3), while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

129.0B diff

Qwen3-235B-A22B-Instruct-2507 has 129.0B more parameters than GLM-4.5-Air, making it 121.7% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
106.0B
GLM-4.5-Air
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

GLM-4.5-Air is 0 month newer than Qwen3-235B-A22B-Instruct-2507.

GLM-4.5-Air

Jul 28, 2025

11 months ago

6d newer
Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

11 months 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

Zhipu AI
Higher BFCL-v3 score (76.4% vs 70.9%)
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher GPQA score (77.5% vs 75.0%)
Higher MMLU-Pro score (83.0% vs 81.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5-Air
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about GLM-4.5-Air vs Qwen3-235B-A22B-Instruct-2507.

Which is better, GLM-4.5-Air or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks. GLM-4.5-Air is made by Zhipu AI and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507 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%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for GLM-4.5-Air and Qwen3-235B-A22B-Instruct-2507?

GLM-4.5-Air supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

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 Qwen3-235B-A22B-Instruct-2507?

GLM-4.5-Air is developed by Zhipu AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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