StarSeaAPI
glm-5.3 vs gpt-5.6-sol
| glm-5.3 | gpt-5.6-sol | |
|---|---|---|
| Providers | Zhipu AI | OpenAI |
| Input $/M | $1.21 | $5.00 |
| Output $/M | $4.24 | $30.00 |
| Output multiplier | ×3.50 | ×6.00 |
| Context window | 200K tokens | 1.05M tokens |
| Intelligence index | 48.6 | 51.3 |
| Coding index | 74.8 | 77.4 |
What the numbers mean
glm-5.3 is roughly 4.1× cheaper on input than gpt-5.6-sol. If your workload passes the quality bar on the cheaper model, that gap compounds across every request; route to gpt-5.6-sol deliberately rather than by default.
Measured intelligence index differs by only 2.7 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 · gpt-5.6-sol — 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"}])
# gpt-5.6-sol
client.chat.completions.create(model="gpt-5.6-sol", messages=[{"role": "user", "content": "Hi"}])