GLM-5.3 vs QvQ-72B-Preview
Comparing GLM-5.3 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.3 and QvQ-72B-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you want the most recent training data — it shipped Aug 2026
Choose QvQ-72B-Preview
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
GLM-5.3 has 679.6B more parameters than QvQ-72B-Preview, making it 925.9% larger.
Context Window
Maximum input and output token capacity
Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
QvQ-72B-Preview supports multimodal inputs, whereas GLM-5.3 does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
QvQ-72B-Preview
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while QvQ-72B-Preview was released on 2024-12-25.
GLM-5.3 is 20 months newer than QvQ-72B-Preview.
Aug 14, 2026
1 weeks ago
1.6yr newerDec 25, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and QvQ-72B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs QvQ-72B-Preview.