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Mistral: Ministral 3 8B 2512
mistralai/ministral-8b-2512Try Mistral: Ministral 3 8B 2512 now
Runs on your balance at the prices above. New accounts start with free usage.
One API. Every model.
Session cost $0.00
Settings
Advanced parameters
Mistral: Ministral 3 8B 2512 at a glance
- Input price is 67% lower than the median of 434 Text models.
- Context window of 262,144 tokens, enough for long documents and multi-turn conversations.
- Supports tool (function) calling for agents and integrations.
- Supports structured JSON output with a schema.
- Accepts images as input (vision).
- A typical request (1,000 input / 500 output tokens) costs about $0.000788.
About Mistral: Ministral 3 8B 2512
Mistral: Ministral 3 8B 2512 is a text generation model from Mistral, part of the Ministral 3 family. It is described by the provider as a balanced model in that family: a powerful, efficient tiny language model. It was released by the provider on 2 December 2025. It sits in the text category and is aimed at developers who want a compact model rather than a large one.
The model accepts text and images as input and returns text. Its context window is 262144 tokens, and its maximum output is 209715 tokens. That combination of a very large context and a large output budget means you can feed in long documents, image content alongside text, and still leave plenty of room for the model to produce a substantial response. Supported request parameters include frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools and top_p.
Because it takes both text and images, the model suits tasks that mix the two. You can pass a screenshot, diagram or scanned page together with a question about it and get a text answer. The large context supports long document summarisation, question answering over lengthy source material, and multi turn conversations that carry a lot of history. Since tools and tool_choice are supported, it can also drive function calling workflows, and structured_outputs plus response_format let you ask for machine readable results rather than free prose.
You call it through api14's OpenAI-compatible API using the model id "mistralai/ministral-8b-2512". Point your existing OpenAI client at the api14 base URL and pass that id in the model field, and the request shape stays the same as any other chat completion call. You can send text or text with images, and set any of the parameters listed above. Deterministic runs are possible with seed, sampling behaviour is controlled by temperature and top_p, penalties shape repetition, stop sequences cut generation, and the tools parameters enable function calling.
It is worth noting the output cap of 209715 tokens and the context of 262144 tokens when planning long generations, since a task that needs more than that from a single call will not fit. The model outputs text only, so if you need image or audio output you will want a different model.
How to call the Mistral: Ministral 3 8B 2512 API
- Create an API key in your dashboard.
- Install the official openai SDK for your language.
- Set baseURL to https://api14.com/api/v1 and model to "mistralai/ministral-8b-2512".
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "mistralai/ministral-8b-2512",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
Supported parameters
frequency_penaltymax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_pSpecifications
- Context length
- 262,144
- Max output
- 209,715
- Input
- text, image
- Output
- text
Requests on api14 · last 7 days
Mistral: Ministral 3 8B 2512: frequently asked questions
- How much does the Mistral: Ministral 3 8B 2512 API cost?
- Mistral: Ministral 3 8B 2512 costs Input $0.52 / 1M tokens. It is charged from your USD balance only for successful requests; failed requests are free.
- What is the context window of Mistral: Ministral 3 8B 2512?
- Mistral: Ministral 3 8B 2512 reads up to 262,144 tokens per request: prompt, history and documents together. It writes up to 209,715 output tokens per response.
- What can Mistral: Ministral 3 8B 2512 do?
- Mistral: Ministral 3 8B 2512 accepts text, image and returns text. It supports tool calling, structured JSON output.
- How do I call Mistral: Ministral 3 8B 2512 from my code?
- Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "mistralai/ministral-8b-2512". No other code changes. Copy a ready example from the code panel on this page.
- What are alternatives to Mistral: Ministral 3 8B 2512?
- Comparable Text models at a similar price: inclusionAI: Ling 3.1 Flash, Meta: Muse Spark 1.3 Contributor, Meta: Muse Spark 1.2 Contributor. Each runs through the same API key, so switching is one string.
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