GLM-5.3 · example
Reuse one visual task in a fixed Agent harness and separate framework effects from model effects.
Using the same (Water Ripple) prompt in Hermes Agent, the author compared GLM-5.3, DeepSeek V4 Flash 0731, and Qwen3.8 27b, judging GLM-5.3 the best, and made the live results page public.
"I tried this with GLM 5.3, DeepSeek v4 Flash 0731, and Qwen3.8 27b. In my view, GLM-5.3 is the best — video attached. I… This is a necessary excerpt; read the original source for full context.
Same-prompt, multi-model comparison: The Water Ripple generation task was run on Hermes Agent (a local agent framework) for all three models.
Conclusion: GLM-5.3 was the best; the author attached a video and a live comparison page (GitHub Pages, where the output differences between the three models can be viewed).
Reference for prompt engineering: The agent framework (Hermes Agent) comes with its own system prompt and tool orchestration, yet model differences remain significant — choosing a model that works well with the agent framework is more effective than tuning prompts alone (echoing @bygregorr's view: "GLM-5.3's win may say more about how it handles Hermes Agent's system prompt than the model itself; change the scaffolding and the rankings will flip").
This is a comparison sample involving "the same prompt, different models/frameworks" and can serve as a hands-on reference for GLM-5.3 versus competitors in agent scenarios.
Platform: X (Twitter)
Time: 2026-08-17
Type: Same-prompt, multi-model comparison (including a live results page)
Reference results page: https://miaai-lab.github.io/Water-Ripple-Prompt-GLM-5.3-DS4F-Qwen3.8-27b/
X (Twitter) · Source date: 2026-08-16 · Edited: 2026-09-20
Read the original sourceGLM-5.3
Run this guide in the environment listed above. Downloading does not transfer the template or establish model availability for your account.
