EmberCloud
EmberCloud serves 7 text models on LLM API from Z.ai, Moonshot AI, Alibaba and 1 other lab.
Models and prices
Prices when EmberCloud serves the request.
No EmberCloud model matches your search.
Text 7
Prices per 1M tokens
embercloud/glm-5 | $0.6 | $2.2 | $0.2 | 203K |
|---|---|---|---|---|
embercloud/glm-4.7 | $0.38 | $1.98 | $0.11 | 205K |
embercloud/kimi-k2.5 | $0.3563 | $1.98 | $0.225 | 262K |
embercloud/qwen3-coder-next | $0.108 | $0.675 | $0.06 | 262K |
embercloud/glm-4.5-air | $0.13 | $0.85 | $0.03 | 128K |
embercloud/glm-4.5 | $0.6 | $2.2 | $0.11 | 128K |
embercloud/minimax-m2.5 | $0.2 | $1.2 | $0.03 | 205K |
Send requests to EmberCloud
Put embercloud/ before a model ID and the request goes to EmberCloud. If EmberCloud’s uptime over the last 5 minutes is below 90%, it goes to another provider of the model, unless it sends X-No-Fallback: true. Routing docs
Example: GLM-5
POST /v1/chat/completionsSet LLMAPI_KEY to your LLM API key.Chat Completions docs
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llmapi.ai/v1",
api_key=os.environ["LLMAPI_KEY"],
)
response = client.chat.completions.create(
model="embercloud/glm-5",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llmapi.ai/v1",
apiKey: process.env.LLMAPI_KEY,
});
const response = await client.chat.completions.create({
model: "embercloud/glm-5",
messages: [{ role: "user", content: "Hello" }],
});
console.log(response.choices[0].message.content);curl https://api.llmapi.ai/v1/chat/completions \
-H "Authorization: Bearer $LLMAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "embercloud/glm-5",
"messages": [{"role": "user", "content": "Hello"}]
}'Prices synced October 27, 2026.