Mistral AI

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Ministral 3 3B API

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

Precio por 1M de tokens70%off

Entrada: $0.03~~$0.10~~
Salida: $0.03~~$0.10~~

Obtén tu clave de API Pruébalo en el playground

ID del modeloministral-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 base https://api.zurelay.com/v1. Funciona con cualquier OpenAI SDK. Documentación de la API de chat

Ventana de contexto: 128K tokens
Razonamiento: Ninguno
Entrada: Text, Image
Lanzamiento: 2 dic 2025
Estado: Operativo

Precios

Precios de la API de Ministral 3 3B. Una fracción del precio de lista.

Paga según el consumo desde un saldo prepago, sin suscripción. Recarga desde $10. Las solicitudes fallidas nunca se cobran.

Tarifa	Zurelay	Mistral AI de lista	Ahorras
Entrada por 1M de tokens	$0.03	~~$0.10~~	70%off
Salida por 1M de tokens	$0.03	~~$0.10~~	70%off

Una sola tarifa para cualquier longitud de prompt, up to the full 128K context window. El streaming, las llamadas a herramientas y las salidas estructuradas no cuestan nada extra.

Calculadora de ahorro

Mueve los deslizadores según tu uso mensual.

Tokens de entrada al mes50M

Tokens de salida al mes10M

Zurelay

$1.80

Precio de lista de Mistral AI

$6.00

Ahorras cada mes$4.20

$50.40 al año

Resumen

¿Qué es 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 y images, made for fast, low-cost work such as classification, extraction, translation y 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 y 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 cuesta $0.03 per 1M input tokens and $0.03 por 1M de tokens de salida.

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

Puntos fuertes

Dónde destaca Ministral 3 3B. Y qué construyen los equipos con él.

Fast y very cheap

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

Lee imágenes

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

Herramientas y JSON

Llamada a funciones y JSON output that Mistral describes as native, for routing, extraction y small agent steps.

Pesos abiertos

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

Casos de uso

Clasificación y enrutamiento
Sort tickets, tag content y pick the next step in a pipeline, with JSON schema output for the code that follows.
Extracción
Pull fields from text, forms y screenshots into JSON a a very low price per call.
Translation
Quick translation between the languages Mistral lists, including English, French, Spanish, German, Chinese, Japanese y Arabic.
Imagen captions
Short descriptions y alt text for photos y screenshots at volume.

Comenzar

Llama a Ministral 3 3B en tres pasos.

Sin listas de espera y sin SDK nuevo. Si tu código ya habla con OpenAI, ya habla con Zurelay.

1
Crear una clave
Sign up, add credit y create an API key. Set a monthly budget or a rate limit per key if you like.
Obtén tu clave de API
2
Point your SDK a Zurelay
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1
3
Use ministral-3-3b
Send chat completions as usual. Streaming, tool calls y usage reporting work as you expect.
ministral-3-3b

Funciona con las herramientas que ya usas

Comparar

Modelos similares. Todos con la misma clave.

70%off

Ministral 3 14B

$0.06 / $0.06 por 1M tokens

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

API de Ministral 3 14B

53%off

Qwen 3.8 Flash

$0.07 / $0.22 por 1M tokens

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

API de Qwen 3.8 Flash

90%off

DeepSeek V4.1 Flash

$0.03 / $0.12 por 1M tokens

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

API de DeepSeek V4.1 Flash

Preguntas frecuentes

Preguntas sobre la API de Ministral 3 3B.

¿Algo más? Pregunta a nuestro equipo y te responderemos por correo.

¿Cuánto cuesta la API de Ministral 3 3B?

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

¿Cómo llamo a the Ministral 3 3B API con el SDK de OpenAI?

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

¿Qué es 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 y images y writes text.

Can Ministral 3 3B read imagenns or PDFs?

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

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Ministral 3 3B API

Precios de la API de Ministral 3 3B. Una fracción del precio de lista.

¿Qué es Ministral 3 3B?

Dónde destaca Ministral 3 3B. Y qué construyen los equipos con él.

Fast y very cheap

Lee imágenes

Herramientas y JSON

Pesos abiertos

Clasificación y enrutamiento

Extracción

Translation

Imagen captions

Llama a Ministral 3 3B en tres pasos.

Crear una clave

Point your SDK a Zurelay

Use ministral-3-3b