Model Comparison

GLM-4.5 vs QwQ-32B-Preview

GLM-4.5 significantly outperforms across most benchmarks. QwQ-32B-Preview is 4.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-4.5 outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while QwQ-32B-Preview is better at 0 benchmarks.

GLM-4.5 significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, GLM-4.5 ($0.40/1M tokens) is 2.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, GLM-4.5 ($1.60/1M tokens) is 8.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, GLM-4.5 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 30 2026 • llm-stats.com
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
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

322.5B diff

GLM-4.5 has 322.5B more parameters than QwQ-32B-Preview, making it 992.3% larger.

Zhipu AI
GLM-4.5
355.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
355.0B
GLM-4.5
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5 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-4.5

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5 was released on 2025-07-28, while QwQ-32B-Preview was released on 2024-11-28.

GLM-4.5 is 8 months newer than QwQ-32B-Preview.

GLM-4.5

Jul 28, 2025

9 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-4.5'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-4.5's cutoff date.

GLM-4.5

—

QwQ-32B-Preview

Nov 2024

Provider Availability

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

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
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)
Higher AIME 2024 score (91.0% vs 50.0%)
Higher GPQA score (79.1% vs 65.2%)
Higher LiveCodeBench score (72.9% vs 50.0%)
Higher MATH-500 score (98.2% vs 90.6%)
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-4.5
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

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

GLM-4.5 significantly outperforms across most benchmarks. GLM-4.5 is made by Zhipu AI and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 2.7x cheaper for input tokens. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
GLM-4.5 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 ($0.40 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-4.5 is developed by Zhipu AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.