GLM-5.2 vs Qwen3.8-27B
GLM-5.2 and Qwen3.8-27B are closely matched at 45.7 and 45.2 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 45.7 and 45.2.
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.
GLM-5.2 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
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
- you process long inputs — it offers a 1,048,576 token context window
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
GLM-5.2 accepts 1,048,576 input tokens compared to Qwen3.8-27B's 262,144 tokens. Both models can generate responses up to 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
3 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.
Provider Availability
GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI. Qwen3.8-27B is available from FriendliAI.
GLM-5.2
Qwen3.8-27B
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.