GPT Text

Model ID: tranhieu13102003/gpt-6-luna

Family

GPT

Context

Not specified

Input / 1M tokens

0.0052 $

Requests

21.8K

Success

95.9%

Tokens

639.03M

Uptime 70.97%

24h agoNow

Observed token response speed

Up to 500 recent requests with a measured response time

500 recent requests

Observed output speed17.5 tok/s

Response time P5012,007 ms

Response time P9572,747 ms

Samples500

Observed output speed: 19.4 tok/s · Output: 113 token · Response time: 12.0 s · 16 requests

Up to 500 recent requests with a measured response time12/11/2026 - 22:54:51

Response similarity to the reference model

The percentage reflects similarity between tested responses and reference data; it does not determine whether a model is genuine or fake.

Latest result: Partial matchReference data updated: 27/10/2026 - 07:24:48 · gpt-6-luna

Direct comparisons2

direct high-match checks0

Direct results for this model

Included in this model’s score

Partial matchReference model: gpt-6-luna 72.1%Partial match Partial matchReference model: gpt-6-luna 69.6%Partial match

Check with my API key

Pricing

Input / 1M tokens

0.0052 $

Output / 1M tokens

0.026 $

Minimum charge / request

0.00026 $

Price history

Price levels previously applied. The row tagged "current" is the live price.

Past Since 22/10/2026 - 20:00:22

Input / 1M tokens0.0078 $ Output / 1M tokens0.039 $ Minimum charge / request0.00052 $ Cache read / 1M tokens0.00439 $ Cache write / 1M tokens0.0219 $

Past Since 26/10/2026 - 15:33:47

Input / 1M tokens0.0052 $ Output / 1M tokens0.026 $ Minimum charge / request0.00026 $ Cache read / 1M tokens0.00571 $ Cache write / 1M tokens0.0285 $

Current Since 07/11/2026 - 04:27:08

Input / 1M tokens0.0052 $ Output / 1M tokens0.026 $ Minimum charge / request0.00026 $ Cache read / 1M tokens0.00742 $ Cache write / 1M tokens0.0371 $

Cost estimator

Input tokens / request Output tokens / request Requests

Estimated total 0 $

Average / request 0 $

Estimate based on list prices. Caching usually makes it cheaper.

Supported endpoints

https://api.xah.io/v1/chat/completions

https://api.xah.io/v1/completions

https://api.xah.io/v1/messages

https://api.xah.io/v1/responses

https://api.xah.io/v1beta/models/tranhieu13102003/gpt-6-luna:generateContent

https://api.xah.io/api/chat

https://api.xah.io/api/generate

Method POST · application/json

Auth Bearer token (API key)

API kinds Text

Quick CLI setup

Pick your CLI. Install it first (step 1), then run the config command (step 2) to write the config file for this model.

Operating system

Step 1 — Install the CLI first (if not installed)

Skip this if you already have the CLI installed.

Step 2 — Config command (run once)

Open Terminal (macOS/Linux) or PowerShell (Windows), paste the command, then enter your API key when prompted.

Uninstall — remove config & CLI

Run one command to restore your previous config (or remove the CKEY config) and see how to uninstall the CLI.

Endpoint: Stream

curl 'https://api.xah.io/v1/chat/completions' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "tranhieu13102003/gpt-6-luna",
    "messages": [
        {
            "role": "user",
            "content": "Hello, who are you?"
        }
    ]
}'

// Node.js / Browser
const res = await fetch('https://api.xah.io/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "model": "tranhieu13102003/gpt-6-luna",
    "messages": [
        {
            "role": "user",
            "content": "Hello, who are you?"
        }
    ]
})
});
const data = await res.json();
console.log(data);

import json, requests

url = 'https://api.xah.io/v1/chat/completions'
headers = {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json',
}
payload = json.loads("{\n    \"model\": \"tranhieu13102003/gpt-6-luna\",\n    \"messages\": [\n        {\n            \"role\": \"user\",\n            \"content\": \"Hello, who are you?\"\n        }\n    ]\n}")

res = requests.post(url, headers=headers, json=payload, timeout=120)
print(res.status_code, res.json())

{
    "model": "tranhieu13102003/gpt-6-luna",
    "messages": [
        {
            "role": "user",
            "content": "Hello, who are you?"
        }
    ]
}

Try it

Send a prompt with your API key — uses real credits, streams back instantly.

Reviews & comments

★ 1.0 / 1 reviews

Loading reviews...

Pricing

Share

Try it