| glm-5.3 | glm-5.3-flash | |
|---|---|---|
| Providers | Zhipu AI | Zhipu AI |
| Input $/M | $1.23 | $0.12 |
| Output $/M | $4.31 | $0.43 |
| Output multiplier | ×3.50 | ×3.50 |
| Context window | 1M tokens | 1M tokens |
| Intelligence index | 48.6 | 46.2 |
| Coding index | 74.8 | 71.5 |
glm-5.3-flash is roughly 10.0× cheaper on input than glm-5.3. If your workload passes the quality bar on the cheaper model, that gap compounds across every request; route to glm-5.3 deliberately rather than by default.
Measured intelligence index differs by only 2.4 points, which in practice means the two models are interchangeable on most tasks — pick on price and latency.
Tags: glm-5.3 — Chat, Reasoning, Coding · glm-5.3-flash — Chat, Reasoning, Coding, Vision
from openai import OpenAI
client = OpenAI(base_url="https://starseaapi.com/v1", api_key="sk-...")
# glm-5.3
client.chat.completions.create(model="glm-5.3", messages=[{"role":"user","content":"Hi"}])
# glm-5.3-flash
client.chat.completions.create(model="glm-5.3-flash", messages=[{"role": "user", "content": "Hi"}])