GLM-5.1 vs Qwen3.8-27B
Both models are evenly matched across the benchmarks.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.1 outperforms in 2 benchmarks (Humanity's Last Exam, NL2Repo), while Qwen3.8-27B is better at 2 benchmarks (GPQA, SWE-Bench Pro). Both models are evenly matched across the benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.1
- you want predictable pricing at $1.40/M input and $4.40/M output
Choose Qwen3.8-27B
- 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-5.1 outperforms in 2 benchmarks (Humanity's Last Exam, NL2Repo), while Qwen3.8-27B is better at 2 benchmarks (GPQA, SWE-Bench Pro).
Both models are evenly matched across the benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
GLM-5.1 has 726.2B more parameters than Qwen3.8-27B, making it 2614.0% larger.
Context Window
Maximum input and output token capacity
Only GLM-5.1 specifies input context (200,000 tokens). Only GLM-5.1 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.8-27B supports multimodal inputs, whereas GLM-5.1 does not.
Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.1
Qwen3.8-27B
License
Usage and distribution terms
GLM-5.1 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-5.1 was released on 2026-04-07, while Qwen3.8-27B was released on 2026-08-14.
Qwen3.8-27B is 4 months newer than GLM-5.1.
Apr 7, 2026
4 months ago
Aug 14, 2026
1 weeks ago
4mo 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-5.1 and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.1 vs Qwen3.8-27B.