Model Comparison

GLM-5 vs QwQ-32BWhich is better in 2026?

Comparing GLM-5 and QwQ-32B across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs QwQ-32B — which is better?

GLM-5 (by Zhipu AI) and QwQ-32B (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.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026

Choose QwQ-32B if…

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

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and QwQ-32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

711.5B diff

GLM-5 has 711.5B more parameters than QwQ-32B, making it 2189.2% larger.

Zhipu AI
GLM-5
744.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
744.0B
GLM-5
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while QwQ-32B uses Apache 2.0.

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

GLM-5

MIT

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while QwQ-32B was released on 2025-03-05.

GLM-5 is 11 months newer than QwQ-32B.

GLM-5

Feb 11, 2026

3 months ago

11mo newer
QwQ-32B

Mar 5, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while GLM-5's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about GLM-5 vs QwQ-32B.

Which is better, GLM-5 or QwQ-32B?

GLM-5 (Zhipu AI) and QwQ-32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to QwQ-32B in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for GLM-5 and QwQ-32B?

GLM-5 supports 200K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and QwQ-32B?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and QwQ-32B?

GLM-5 is developed by Zhipu AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.

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