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Home › Compare › glm-5.3 vs glm-5.3-flash

glm-5.3 vs glm-5.3-flash

glm-5.3glm-5.3-flash
ProvidersZhipu AIZhipu AI
Input $/M$1.23$0.12
Output $/M$4.31$0.43
Output multiplier×3.50×3.50
Context window1M tokens1M tokens
Intelligence index48.646.2
Coding index74.871.5

What the numbers mean

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

Code

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"}])

Compare

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