GLM-4.6 vs Qwen3.8-27B
Qwen3.8-27B significantly outperforms across most benchmarks.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-4.6 outperforms in 0 benchmarks, while Qwen3.8-27B is better at 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6). Qwen3.8-27B significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-4.6
- you want predictable pricing at $0.55/M input and $2.00/M output
Choose Qwen3.8-27B
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.6 outperforms in 0 benchmarks, while Qwen3.8-27B is better at 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6).
Qwen3.8-27B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
GLM-4.6 has 329.2B more parameters than Qwen3.8-27B, making it 1185.0% larger.
Context Window
Maximum input and output token capacity
Only GLM-4.6 specifies input context (131,072 tokens). Only GLM-4.6 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Both GLM-4.6 and Qwen3.8-27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-4.6
Qwen3.8-27B
License
Usage and distribution terms
GLM-4.6 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-4.6 was released on 2025-09-30, while Qwen3.8-27B was released on 2026-08-14.
Qwen3.8-27B is 11 months newer than GLM-4.6.
Sep 30, 2025
10 months ago
Aug 14, 2026
1 weeks ago
10mo 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-4.6 and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.6 vs Qwen3.8-27B.