PROVIDER
Z.ai
Z.ai's GLM — MIT-licensed MoE LLMs from 128K to 200K context, top open-weight SWE-bench scores, via one RunAPI key.
1 models
·
7 variants
·
由 $0.010
Z.ai 的所有模型
1 models
OVERVIEW
Z.ai builds the GLM family of MIT-licensed Mixture-of-Experts language models for coding and agentic workflows. The line spans GLM-4.5 (355B / 32B active, 128K context) through GLM-5.1 (754B / 40B active, 200K context), which holds the top open-weight SWE-bench Pro score at 58.4%. All are available through RunAPI from the OpenAI and Anthropic SDKs with per-token billing.
- 單一 API key 可跨 provider 共用
- Model skill 將文件與 schema 帶入你的 workspace
- 按次收費,無需承諾
- 失敗的生成不會收費
FEATURES
亮點
MODELS
Z.ai 的所有模型
QUICKSTART
安裝 Z.ai model skill。
選一個模型並加入其 skill,讓 coding tool 取得文件、schema、價格備註與 setup 步驟。
# Base URL
https://runapi.ai
# Endpoints
POST /v1/chat/completions
curl https://runapi.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.1",
"messages": [
{
"role": "user",
"content": "Read this multi-file repository, find the failing integration test, and propose a patch with an explanation of the root cause."
}
]
}'
from openai import OpenAI
client = OpenAI(
base_url="https://runapi.ai/v1",
api_key="your-runapi-key"
)
response = client.chat.completions.create(
model="glm-5.1",
messages=[{"role": "user", "content": "Read this multi-file repository, find the failing integration test, and propose a patch with an explanation of the root cause."}]
)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://runapi.ai/v1",
apiKey: "your-runapi-key"
});
const response = await client.chat.completions.create({
model: "glm-5.1",
messages: [{ role: "user", content: "Read this multi-file repository, find the failing integration test, and propose a patch with an explanation of the root cause." }]
});
REFERENCE
Z.ai 的所有變體
FAQ
關於 Z.ai 的常見問題
這是 Z.ai 的官方整合嗎?
RunAPI 提供託管 API 介面,價格、能力及錯誤行為都清晰透明。
我需要 Z.ai 帳戶嗎?
不用 — 你的 RunAPI 密鑰已足夠使用託管存取。
透過 proxy 會增加多少延遲?
通常少於 20 ms。RunAPI 會將 proxy 層維持在貼近 model 執行區域的位置。
圖片/影片會快取嗎?
生成結果會按 task ID 儲存並可供取回。輸入內容不會快取。
我可以使用自己的 key 嗎?
目前不支援 — 請使用 RunAPI 管理的存取。
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