Model Comparison

GLM-4.5V vs QwQ-32B-Preview

Comparing GLM-4.5V and QwQ-32B-Preview across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V 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-4.5V ($0.55/1M tokens) is 3.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 10.9x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, GLM-4.5V is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
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

75.5B diff

GLM-4.5V has 75.5B more parameters than QwQ-32B-Preview, making it 232.3% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
108.0B
GLM-4.5V
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

GLM-4.5V accepts 131,072 input tokens compared to QwQ-32B-Preview's 32,768 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas QwQ-32B-Preview does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5V

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V 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-4.5V

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while QwQ-32B-Preview was released on 2024-11-28.

GLM-4.5V is 9 months newer than QwQ-32B-Preview.

GLM-4.5V

Aug 11, 2025

8 months ago

8mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while GLM-4.5V'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-4.5V's cutoff date.

GLM-4.5V

—

QwQ-32B-Preview

Nov 2024

Provider Availability

GLM-4.5V is available from Fireworks, Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

GLM-4.5V

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

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 (131,072 tokens)
Supports multimodal inputs
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-4.5V
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about GLM-4.5V vs QwQ-32B-Preview

GLM-4.5V (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.
QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 3.7x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
GLM-4.5V supports 131K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 33K), input pricing ($0.55 vs $0.15/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-4.5V is developed by Zhipu AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.