GLM-5.2 vs Qwen3.8-27B
GLM-5.2 and Qwen3.8-27B are closely matched at 46.5 and 46.1 on the LLM Stats Score.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.2 and Qwen3.8-27B are closely matched on the overall LLM Stats Score at 46.5 and 46.1.
In the 6 individual benchmarks reported for both models, GLM-5.2 wins 6; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.2
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
Choose Qwen3.8-27B
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for GLM-5.2 · 26 for Qwen3.8-27B
GLM-5.2 outperforms in 6 benchmarks (DeepSWE 1.1, GPQA, Humanity's Last Exam, NL2Repo, SWE-Bench Pro, Terminal-Bench 2.1), while Qwen3.8-27B is better at 0 benchmarks.
GLM-5.2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
GLM-5.2 has 725.2B more parameters than Qwen3.8-27B, making it 2610.4% larger.
Context Window
Maximum input and output token capacity
Only GLM-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.8-27B supports multimodal inputs, whereas GLM-5.2 does not.
Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.2
Qwen3.8-27B
License
Usage and distribution terms
GLM-5.2 is licensed under MIT, while Qwen3.8-27B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-5.2 was released on 2026-06-16, while Qwen3.8-27B was released on 2026-08-14.
Qwen3.8-27B is 2 months newer than GLM-5.2.
Jun 16, 2026
2 months ago
Aug 14, 2026
2 weeks ago
1mo newerKnowledge 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-5.2 and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.2 vs Qwen3.8-27B.