Zhipu's GLM-5.2 is the strongest Chinese-language model with vision input — but official pricing (¥8 in / ¥28 out per 1M tokens) makes it a premium purchase. Bridge serves it at $0.40/$1.20 through your existing OpenAI SDK.
| GLM-5.2 (per 1M tokens) | Official (¥) | Official (≈$) | Bridge |
|---|---|---|---|
| Input | ¥8 | ≈$1.13 | $0.40 |
| Output | ¥28 | ≈$3.94 | $1.20 |
| Cache-hit input | ¥2 | ≈$0.28 | $0.04 |
from openai import OpenAI
client = OpenAI(
base_url="https://bridge.computeindex.net/v1",
api_key="sk-bridge-YOUR_KEY",
)
completion = client.chat.completions.create(
model="glm-5.2",
messages=[{
"role": "user",
"content": [
{"type": "text", "text": "What does this screenshot show?"},
{"type": "image_url", "image_url": {"url": "https://example.com/shot.png"}},
],
}],
)
print(completion.choices[0].message.content)
Like DeepSeek, GLM prices cached input at a steep discount — on Bridge, cache hits cost $0.04 per 1M tokens. Reusing a system prompt across thousands of turns makes the effective cost of conversation dramatically lower; the usage receipt on every request shows exactly how many tokens were cached.
Is Bridge's GLM-5.2 the same model as Zhipu's official? Yes — same model served through Bridge's OpenAI-compatible gateway, with per-token metering and cached-input billing.
Can I use GLM from an existing OpenAI integration? Yes. Change base_url and api_key; messages, streaming and error codes follow the OpenAI dialect.
Get $1 free credit → try GLM-5.2