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glm-5 vs glm-5.3-flash

glm-5glm-5.3-flash
ProvidersZhipu AIZhipu AI
Input $/M$0.61$0.12
Output $/M$2.73$0.42
Output multiplier×4.50×3.50
Context window200K tokens1M tokens
Intelligence index46.2
Coding index71.5

What the numbers mean

glm-5.3-flash is roughly 5.0× cheaper on input than glm-5. If your workload passes the quality bar on the cheaper model, that gap compounds across every request; route to glm-5 deliberately rather than by default.

Tags: glm-5 — 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
client.chat.completions.create(model="glm-5", messages=[{"role":"user","content":"Hi"}])

# glm-5.3-flash
client.chat.completions.create(model="glm-5.3-flash", messages=[{"role": "user", "content": "Hi"}])

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