GLM-5.2 vs Qwen3.8-Flash-Next
GLM-5.2 and Qwen3.8-Flash-Next are closely matched at 46.5 and 50.5 on the LLM Stats Score.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.2 and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 46.5 and 50.5.
In the 6 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 4; 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 want predictable pricing at $0.95/M input and $3.00/M output
Choose Qwen3.8-Flash-Next
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 6 exact shared results
- 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 · 22 for Qwen3.8-Flash-Next
GLM-5.2 outperforms in 2 benchmarks (Humanity's Last Exam, NL2Repo), while Qwen3.8-Flash-Next is better at 4 benchmarks (DeepSWE 1.1, GPQA, SWE-Bench Pro, Toolathlon).
Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
GLM-5.2 has 628.0B more parameters than Qwen3.8-Flash-Next, making it 502.4% 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-Flash-Next supports multimodal inputs, whereas GLM-5.2 does not.
Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.2
Qwen3.8-Flash-Next
License
Usage and distribution terms
GLM-5.2 is licensed under MIT, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen Community License 1.0
Open weights
Release Timeline
When each model was launched
GLM-5.2 was released on 2026-06-16, while Qwen3.8-Flash-Next was released on 2026-08-26.
Qwen3.8-Flash-Next is 2 months newer than GLM-5.2.
Jun 16, 2026
2 months ago
Aug 26, 2026
2 days ago
2mo 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-Flash-Next side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.2 vs Qwen3.8-Flash-Next.