How do I set a maximum amount of money the API could cost me?

The API does not support hard spending caps directly. Monitor usage via the response headers or track tokens in your application logic. Prepaid credit never expires, so you control the limit by your top-up amount.

What happens if I hit the rate limit?

You receive a 429 status code. The request consumes no tokens. Wait a few seconds and retry. You are limited to 300 requests per minute per key. Adjust your concurrency to stay under 8 simultaneous requests.

Is the uncensored model the same as Mistral AI's models?

No. We host an open-weight model tuned for no refusals. It is not GPT, Claude, or the official Mistral models. It is compatible with the same API structure but has its own model ID. Check the pricing page for details.

Panduan Cepat: Integrasi API Tanpa Sensor

URL Dasar dan Autentikasi

API berada di https://api.mistralapipricing.com/v1. Luluskan kunci Anda di Authorization header. Logika harga API Mistral diterapkan per token, jadi pastikan header tetap bersih. Verifikasi konektivitas dengan GET /v1/models.

Header: Authorization: Bearer YOUR_KEY
URL Dasar: https://api.mistralapipricing.com/v1

curl https://api.mistralapipricing.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List the cost per token for each model."}]
  }'

Mengirim Permintaan Pertama Anda

Panggil chat/completions endpoint dengan ID model Anda. Model uncensored merespons prompt standar tanpa penolakan. Token input berharga $0,15 per juta. Token output berharga $0,50 per juta. Kesalahan tidak menguras kredit.

from openai import OpenAI

client = OpenAI(base_url="https://api.mistralapipricing.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Integrasi Node.js

Gunakan SDK resmi atau axios untuk mengirim permintaan. Atur URL dasar dengan benar. ID model selalu uncensoredHeader harus menyertakan token bearer Anda. Respons mengembalikan objek JSON. Tangani kesalahan dengan lancar.

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.mistralapipricing.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

Respons Streaming

Aktifkan streaming dengan mengatur stream: true. Terima token melalui Server-Sent Events. Bagian terakhir berisi data penggunaan. Ini mengurangi latensi yang dirasakan untuk output panjang. Buffer token di sisi klien. Tampilkan saat mereka tiba.

stream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Pemanggilan Fungsi dan Mode JSON

Tentukan alat dalam badan permintaan. Model mengembalikan JSON terstruktur. Gunakan response_format: {"type": "json_object"} untuk output yang ketat. Parse hasil dalam logika aplikasi Anda. Ini bekerja untuk tugas otomatisasi. Validasi skema di sisi Anda.

Batas, Error, dan Konteks

Jendela konteks adalah 100.000 token total. Permintaan dibatasi hingga 300 per menit. Anda mendapatkan 8 permintaan simultan. Error 401 berarti kunci tidak valid. Error 402 menunjukkan kredit tidak cukup. Error 429 menandakan pembatasan laju. Output maksimum adalah 16.000 token.

Panduan Quickstart