OpenAI-compatible HTTP API
You can POST to our OpenAI Chat Completions compatible endpoint.
Simple messages and prompts
Given a list of messages from a conversation, the model will return a response.
curl "https://api.rhioara.com/v1/openai/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "zai-org/GLM-5.2",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
}'Effective Pricing
The chart below shows the average price customers are actually paying after prompt caching. Depending on the amount of repeated context you send, this can be 60-80% cheaper than the provider list price.
Weighted Average
| Provider ↑↓ | ↑↓ Input $/1M | ↑↓ Output $/1M | ↑↓ Cache hit rate | ↑↓ Token share (1d) |
|---|---|---|---|---|
A Anthropic | $1.97 | $50.00 | 100.0% |
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round trip time to first token (seconds — lower is better).
Uptime
Percent of requests that succeeded over the last 30 days. Rhioara monitors every provider continuously.
When an error occurs in an upstream provider, we can recover by routing to another healthy provider.
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like.
Activity
Token volume and request traffic to this model over time. Prompt tokens measure input size. Reasoning tokens show internal thinking before a response.