Mistral AI
稼働中· 数分ごとに確認

Ministral 3 3B API

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

1Mトークンあたりの料金70%割引
入力
$0.03$0.10
出力
$0.03$0.10
APIキーを取得Playgroundで試す
モデルIDministral-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="")

ベースURL https://api.zurelay.com/v1. どのOpenAI SDKにも対応しています。 チャットAPIドキュメント

コンテキストウィンドウ
128K トークン
推論
なし
入力
Text, Image
リリース日
2025年12月2日
ステータス
稼働中

料金

Ministral 3 3BのAPI料金。 定価より大幅にお得です。

プリペイド残高からの従量課金で、サブスクリプションは不要です。$10からチャージできます。失敗したリクエストには課金されません。

料金ZurelayMistral AIの定価
入力
1M トークンあたり
$0.03$0.10
出力
1M トークンあたり
$0.03$0.10

プロンプトの長さにかかわらず同じ料金です, up to the full 128K context window。ストリーミング、ツール呼び出し、構造化出力に追加料金はかかりません。

節約額の計算

スライダーで月間使用量を設定してください。

月間入力トークン数50M
月間出力トークン数10M
Zurelay
$1.80
Mistral AIの定価
$6.00
毎月の節約額$4.20

年間$50.40

概要

Ministral 3 3Bとは？

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とimages, made for fast, low-cost work such as classification, extraction, translationと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.

Mistral AI released the Ministral 3 family on December 2, 2025, alongside Mistral Large 3, in three sizes: 3B, 8Bと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の出力料金は1Mトークンあたり$0.03 per 1M input tokens and $0.03です。

Mistral built Ministral 3 for edgeとlocal use,と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とahead of Gemma 3 4B (49.1),と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とwhile streaming,と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.

強み

Ministral 3 3Bが得意なこと。 チームでの活用例も紹介します。

01

Fastとvery cheap

$0.03 per 1M input tokens, for steps that run millions of times.についてで360 tokens a second in our tests,

02

画像を読み取り

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

03

ツールとJSON

関数呼び出しとJSON output that Mistral describes as native, for routing, extractionとsmall agent steps.

04

公開ウェイト

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

ユースケース

  • 分類と振り分け

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

  • データ抽出

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

  • Translation

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

  • Image captions

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

始める

3ステップでMinistral 3 3Bを呼び出せます。

ウェイトリストも新しいSDKも不要です。OpenAIに対応したコードなら、そのままZurelayでも使えます。

  1. 1

    キーを作成

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

    APIキーを取得
  2. 2

    ZurelayでPoint your SDK

    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とusage reporting work as you expect.

    ministral-3-3b

普段使っているツールに対応

比較

類似モデル。 すべて同じキーで使えます。

70%割引

Ministral 3 14B

1Mトークンあたり入力$0.06 / 出力$0.06

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

Ministral 3 14B API
53%割引

Qwen 3.8 Flash

1Mトークンあたり入力$0.07 / 出力$0.22

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

Qwen 3.8 Flash API
90%割引

DeepSeek V4.1 Flash

1Mトークンあたり入力$0.03 / 出力$0.12

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

DeepSeek V4.1 Flash API

よくある質問

Ministral 3 3B APIについてよくある質問。

ほかにご質問はありますか？ チームに問い合わせると、メールでお答えします。

Ministral 3 3B APIの料金はいくらですか？

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

OpenAI SDKでthe Ministral 3 3B APIを呼び出すには？

Install the official openai package, set base_url to https://api.zurelay.com/v1と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とministral-3b. Mistral recommends a temperature of 0.1 or lower for production work.

Ministral 3 3B context windowとは？

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

画像Can Ministral 3 3B read枚s or PDFs?

画像It reads枚s: send them in image_url parts, as https links or base64 data URLs,と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とthere are no reasoning tokens～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と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,とtool_choice "none" works. Tool call ids must be at least 9 characters long, as the model's ownと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とimages, hold 131,072 tokens on Zurelayと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とchanges. Mistral publishes base, instructと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,と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,と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.

Zurelayのその他のモデル

すべてのモデル

定価で払うのはもう終わり。
今日から節約を始めましょう。

数秒でキーを作成し、お使いのSDKをZurelayに接続するだけ。最初のトークンから、すべてのリクエストが最大90%安くなります。

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