GLM-5.3 vs Qwen3.8 Max
GLM-5.3 significantly outperforms across most benchmarks.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.3 outperforms in 7 benchmarks (AutomationBench, DeepSWE 1.1, FrontierSWE, Humanity's Last Exam, NL2Repo, Terminal-Bench 2.1, Toolathlon), while Qwen3.8 Max is better at 1 benchmark (Agents' Last Exam). GLM-5.3 significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you want the strongest raw capability — it leads on 7 of 8 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
Choose Qwen3.8 Max
- 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 outperforms in 7 benchmarks (AutomationBench, DeepSWE 1.1, FrontierSWE, Humanity's Last Exam, NL2Repo, Terminal-Bench 2.1, Toolathlon), while Qwen3.8 Max is better at 1 benchmark (Agents' Last Exam).
GLM-5.3 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen3.8 Max has 1647.0B more parameters than GLM-5.3, making it 218.7% 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
Qwen3.8 Max supports multimodal inputs, whereas GLM-5.3 does not.
Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Qwen3.8 Max
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Qwen3.8 Max was released on 2026-08-02.
GLM-5.3 is 0 month newer than Qwen3.8 Max.
Aug 14, 2026
1 weeks ago
1w newerAug 2, 2026
3 weeks 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 Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Qwen3.8 Max.