AI models for developers,
billed in Manat

USDT Deposit (TRC-20)

Send USDT on the TRC-20 network to this address. Your TMT balance will be credited automatically within 1-2 minutes after confirmation.

1. Register an account on this portal and top up your TMT balance via the Deposit tab.
2. Create an API key on the API Keys tab. Copy it immediately — it is shown only once.
3. Make your first request — see examples below. Use the API key as a Bearer token.

• curl
• Python
• Node.js

# Replace YOUR_API_KEY with your key from the API Keys tab

curl -X POST /v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

# Streaming
curl -X POST /v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-70b",
    "messages": [{"role": "user", "content": "Hello!"}],
    "stream": true
  }'

# pip install openai
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="/v1",
)

# Regular request
response = client.chat.completions.create(
    model="llama-3.1-70b",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

# Streaming
stream = client.chat.completions.create(
    model="llama-3.1-70b",
    messages=[{"role": "user", "content": "Explain quantum physics"}],
    stream=True,
)
for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

// npm install openai
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "/v1",
});

// Regular request
const response = await client.chat.completions.create({
  model: "llama-3.1-70b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

// Streaming
const stream = await client.chat.completions.create({
  model: "llama-3.1-70b",
  messages: [{ role: "user", content: "Explain quantum physics" }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

For embedding models (e.g. nomic-embed-text, mxbai-embed-large) use POST /v1/embeddings. Billed by input tokens only (no output tokens).

• curl
• Python
• Node.js

# Single string
curl -X POST /v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "nomic-embed-text", "input": "Text to embed"}'

# Batch
curl -X POST /v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "nomic-embed-text", "input": ["First text", "Second text"]}'

result = client.embeddings.create(
    model="nomic-embed-text",
    input=["First text", "Second text"],
)
for item in result.data:
    print(f"[{item.index}] len={len(item.embedding)}")

const batch = await client.embeddings.create({
  model: "nomic-embed-text",
  input: ["First text", "Second text"],
});
batch.data.forEach(item =>
  console.log(`[${item.index}] len=${item.embedding.length}`)
);

See the Models tab for the full list with prices. Or fetch via API:

curl /v1/models \
  -H "Authorization: Bearer YOUR_API_KEY"

Pass your API key in the Authorization header:

Authorization: Bearer gw_your_api_key_here

API keys start with gw_. Never share your key — it grants full access to your balance.

• Balance is held in TMT (Turkmenistan Manat).
• Each request is billed by input + output tokens at the model's rate.
• Billing happens after the response completes (including streaming).
• If balance is insufficient, the request returns 402 Payment Required.
• Top up via USDT TRC-20 on the Deposit tab — credited within 1–2 minutes.