Mistral AI
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Ministral 3 3B API

Harga resmi The Ministral 3 3B API: Mistral AI's smallest open-weight model, with vision, for fast, high-volume work, 70% below Mistral's

Harga per 1M token70%lebih murah
Input
$0.03$0.10
Output
$0.03$0.10
Dapatkan kunci API AndaCoba di playground
ID modelministral-3-3b
chat.py
from openai import OpenAI
client = OpenAI(
    base_url="https://api.zurelay.com/v1",
    api_key="YOUR_ZURELAY_KEY",
)
stream = client.chat.completions.create(
    model="ministral-3-3b",
    messages=[{"role": "user", "content": "Explain quicksort in two sentences."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices:
        print(chunk.choices[0].delta.content or "", end="")

URL dasar https://api.zurelay.com/v1. Kompatibel dengan semua SDK OpenAI. Dokumentasi API chat

Jendela konteks
128K tokens
Penalaran
Tidak ada
Input
Text, Image
Dirilis
2 Des 2025
Status
Beroperasi

Harga

Harga API Ministral 3 3B. Jauh di bawah harga resmi.

Bayar sesuai pemakaian dari saldo prabayar, tanpa langganan. Isi saldo mulai $10. Permintaan yang gagal tidak pernah dikenakan biaya.

TarifZurelayHarga resmi Mistral AI
Input
per 1M tokens
$0.03$0.10
Output
per 1M tokens
$0.03$0.10

Satu tarif untuk semua panjang prompt, up to the full 128K context window. Streaming, pemanggilan tool, dan output terstruktur tanpa biaya tambahan.

Kalkulator penghematan

Geser slider sesuai pemakaian bulanan Anda.

Token input per bulan50M
Token output per bulan10M
Zurelay
$1.80
Harga resmi Mistral AI
$6.00
Penghematan Anda per bulan$4.20

$50.40 per tahun

Ringkasan

Apa itu Ministral 3 3B?

Ministral 3 3B is the smallest model in Mistral AI's Ministral 3 family, released on December 2, 2025: an open-weight model that reads text dan images, made for fast, low-cost work such as classification, extraction, translation dan image captions. The Zurelay Ministral 3 3B API serves its instruct version through one OpenAI-compatible endpoint with a 131,072-token context window, at 70% below Mistral's list price.

Biaya Mistral AI released the Ministral 3 family on December 2, 2025, alongside Mistral Large 3, in three sizes: 3B, 8B dan 14B. Each size comes as a base, an instruct and a reasoning model, all with image understanding and all under the Apache 2.0 license, with the weights on Hugging Face. Ministral 3 3B pairs a 3.4B-parameter language model with a 0.4B-parameter vision encoder, and Mistral says it fits in 8GB of GPU memory at FP8. On Zurelay the model ID is ministral-3-3b, and it adalah $0.03 per 1M input tokens and $0.03 per 1M token output.

Mistral built Ministral 3 for edge dan local use, dan points the 3B model at lightweight, real-time work: image captions, text classification, translation, data extraction and short content. It handles dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean and Arabic. Mistral says its Ministral instruct models often write an order of magnitude fewer tokens than comparable models.

On Mistral's model card the instruct model scores 56.8 on WildBench, level with Qwen3-VL-4B-Instruct dan ahead of Gemma 3 4B (49.1), dan 0.830 on MATH, ahead of Gemma 3 4B (0.759) and behind Qwen3-VL-4B-Instruct (0.900). Qwen3-VL-4B-Instruct also leads it on Arena Hard, 0.438 against 0.305. These are Mistral's numbers, not independent ones.

The instruct model answers directly without reasoning first, so reasoning_effort has no effect. It calls tools, several at once dan while streaming, dan returns JSON for json_object or json_schema in response_format. Mistral lists a 256K context window on its own API; on Zurelay a request holds up to 131,072 tokens. In our tests it wrote about 360 tokens a second and knew little about events after 2024, as small models tend to, so put the facts it needs in the prompt. You pay $0.03 per 1M input tokens and $0.03 per 1M output tokens against Mistral's list price of $0.10 and $0.10.

Keunggulan

Keunggulan Ministral 3 3B. Dan apa yang dibangun tim dengannya.

01

Fast dan very cheap

Tentang 360 tokens a second in our tests, untuk $0.03 per 1M input tokens, for steps that run millions of times.

02

Membaca gambar

A 0.4B-parameter vision encoder reads photos, screenshots dan scans next to your text, for captions dan quick visual checks.

03

Alat dan JSON

Pemanggilan fungsi dan JSON output that Mistral describes as native, for routing, extraction dan small agent steps.

04

Bobot terbuka

Apache 2.0 weights di Hugging Face, small enough for 8GB dari GPU memory, so what you build on Zurelay carries over to a local copy later.

Contoh penggunaan

  • Klasifikasi dan perutean

    Sort tickets, tag content dan pick the next step in a pipeline, with JSON schema output for the code that follows.

  • Ekstraksi

    Pull fields from text, forms dan screenshots into JSON untuk a very low price per call.

  • Translation

    Quick translation between the languages Mistral lists, including English, French, Spanish, German, Chinese, Japanese dan Arabic.

  • Image captions

    Short descriptions dan alt text for photos dan screenshots at volume.

Mulai

Panggil Ministral 3 3B dalam tiga langkah.

Tanpa daftar tunggu dan tanpa SDK baru. Jika kode Anda sudah terhubung ke OpenAI, kode itu juga bisa terhubung ke Zurelay.

  1. 1

    Buat kunci

    Sign up, add credit dan create an API key. Set a monthly budget or a rate limit per key if you like.

    Dapatkan kunci API Anda
  2. 2

    Point your SDK untuk Zurelay

    Change the base URL. Everything else in your code stays the same.

    https://api.zurelay.com/v1
  3. 3

    Use ministral-3-3b

    Send chat completions as usual. Streaming, tool calls dan usage reporting work as you expect.

    ministral-3-3b

Kompatibel dengan tool yang sudah Anda gunakan

Bandingkan

Model serupa. Semua dengan satu kunci.

70%lebih murah

Ministral 3 14B

$0.06 / $0.06 per 1M token

Pick Ministral 3 14B, the largest Ministral 3 model, for stronger answers: 0.551 against 0.305 on Arena Hard in Mistral's tests, untuk twice the price per token.

API Ministral 3 14B
53%lebih murah

Qwen 3.8 Flash

$0.07 / $0.22 per 1M token

Pick Qwen 3.8 Flash for a 1M-token context, video input dan a thinking mode when a task needs more than a small model.

API Qwen 3.8 Flash
90%lebih murah

DeepSeek V4.1 Flash

$0.03 / $0.12 per 1M token

Pick DeepSeek V4.1 Flash for a 1M-token context dan thinking on harder text and image tasks.

API DeepSeek V4.1 Flash

Tanya jawab

Pertanyaan seputar API Ministral 3 3B.

Ada pertanyaan lain? Tanyakan kepada tim kami dan kami akan menjawab lewat email.

Berapa biaya API Ministral 3 3B?

On Zurelay, ministral-3-3b costs $0.03 per 1M input tokens dan $0.03 per 1M output tokens. Mistral's list price is $0.10 input dan $0.10 output per 1M, so you save 70%. One rate applies at every prompt length, and failed requests are never billed.

Bagaimana cara memanggil the Ministral 3 3B API dengan SDK OpenAI?

Install the official openai package, set base_url to https://api.zurelay.com/v1 dan use your Zurelay API key. Then send a Chat Completions request with model set to "ministral-3-3b". Zurelay also accepts ministral-3-3b-instruct, mistralai/ministral-3-3b dan ministral-3b. Mistral recommends a temperature of 0.1 or lower for production work.

Apa itu the Ministral 3 3B context window?

On Zurelay a request holds up to 131,072 tokens. Mistral lists a 256K window on its own API. The model reads text dan images dan writes text.

Can Ministral 3 3B read gambars or PDFs?

It reads gambars: send them in image_url parts, as https links or base64 data URLs, dan they count as input tokens. Mistral suggests images close to square, with very wide or thin ones cropped. Zurelay doesn't take PDFs, audio or video for Ministral 3 3B: a request that includes one is turned away with a clear error before anything is billed.

Does Ministral 3 3B reason before it answers?

No. Zurelay serves the instruct model, which answers directly, so reasoning_effort has no effect dan there are no reasoning tokens hingga pay for. Mistral also publishes a separate Ministral 3 3B Reasoning model, which Zurelay doesn't serve. For answers with thinking, use Qwen 3.8 Flash or DeepSeek V4.1 Flash.

Does Ministral 3 3B support tool calling dan JSON output?

Yes. Pass tools as you would to any OpenAI model; it can call several at once, also while streaming. A tool forced by name is called, dan tool_choice "none" works. Tool call ids must be at least 9 characters long, as the model's own dan OpenAI's are. For JSON, send response_format with json_object or json_schema and the answer comes back as JSON.

Should I use Ministral 3 3B or Ministral 3 14B?

Both read text dan images, hold 131,072 tokens on Zurelay dan call tools. 14B pairs a 13.5B-parameter language model with the same 0.4B vision encoder and scores higher in Mistral's tests (0.551 against 0.305 on Arena Hard, 68.5 against 56.8 on WildBench), at twice the price. 3B is faster, about 360 tokens a second against 170 in our tests, and suits simple, high-volume steps.

Is Ministral 3 3B open source?

Its weights are open under the Apache 2.0 license, which allows commercial use dan changes. Mistral publishes base, instruct dan reasoning versions on Hugging Face and says the 3B fits in 8GB of GPU memory at FP8. The API is the quick way to use it without running your own hardware.

Is this the real Ministral 3 3B?

Yes. Requests for ministral-3-3b run on Mistral AI's Ministral 3 3B Instruct, dan Zurelay doesn't swap in a different model. Only smart routing, which you turn on yourself, can answer with a close alternative when the model is down, dan the x-zurelay-model header names the model that answered. Responses are sampled, so wording varies between runs. Zurelay is independent and is not affiliated with or endorsed by Mistral AI.

Model lainnya di Zurelay

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Buat kunci API dalam hitungan detik, arahkan SDK yang sudah Anda gunakan ke Zurelay, dan setiap permintaan jadi hingga 90% lebih murah sejak token pertama.

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