Model Comparison

GLM-5 vs QwQ-32B-PreviewWhich is better in 2026?

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

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

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

On price, QwQ-32B-Preview is roughly 9.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose QwQ-32B-Preview if…

  • cost matters — it's about 9.5x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, GLM-5 ($1.00/1M tokens) is 6.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 16.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, GLM-5 is more expensive than QwQ-32B-Preview.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

711.5B diff

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

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

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while QwQ-32B-Preview 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-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while QwQ-32B-Preview was released on 2024-11-28.

GLM-5 is 15 months newer than QwQ-32B-Preview.

GLM-5

Feb 11, 2026

3 months ago

1.2yr newer
QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

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

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

GLM-5

—

QwQ-32B-Preview

Nov 2024

Provider Availability

GLM-5 is available from FriendliAI, ZAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

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-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

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

GLM-5 (Zhipu AI) and QwQ-32B-Preview (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-Preview 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-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is GLM-5 cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 6.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

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

GLM-5 supports 200K tokens and QwQ-32B-Preview supports 33K 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-Preview?

Key differences include context window (200K vs 33K), input pricing ($1.00 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and QwQ-32B-Preview?

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

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