Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

GLM-4.5

Zhipu AI

GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

2024-11-28

GLM-4.5

Zhipu AI

2025-07-28

8 months newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5

Input:$0.40

Output:$1.60

QwQ-32B-Preview

$1.65 cheaper

Input:$0.15

Output:$0.20

Performance Metrics

Context window and performance specifications

GLM-4.5

Larger context

Max Context:262.1K

Parameters:355.0B

QwQ-32B-Preview

Max Context:65.5K

Parameters:32.5B

Average performance across 4 common benchmarks

GLM-4.5

+21.3%

Average Score:85.3%

QwQ-32B-Preview

Average Score:64.0%

Performance comparison across key benchmark categories

GLM-4.5

math

+7.6%

98.2%

general

+21.7%

79.3%

code

+0.7%

50.7%

QwQ-32B-Preview

math

90.6%

general

57.6%

code

50.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

QwQ-32B-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5

1 providers

DeepInfra

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s

Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s

Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s

Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s

Latency: 0.53ms

GLM-4.5

+21.3%

Avg Score:85.3%

Providers:1

QwQ-32B-Preview

Avg Score:64.0%

Providers:4