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The right way to Entry Ministral 3 by way of API

TL;DR

Ministral 3 is a household of open-weight, reasoning-optimized fashions obtainable in each 3B and 14B variants. The fashions help multimodal reasoning, native perform and power calling, and an enormous 256K token context window, all launched beneath an Apache 2.0 license.

You’ll be able to run Ministral 3 immediately on Clarifai utilizing the Playground for interactive testing or combine it into your functions by way of Clarifai’s OpenAI-compatible API.

This information explains the Ministral 3 structure, the way to entry it by way of Clarifai, and the way to decide on the proper variant in your manufacturing workloads.

Introduction

Fashionable AI functions more and more depend upon fashions that may motive reliably, keep lengthy context, and combine cleanly into present instruments and APIs. Whereas closed-source fashions have traditionally led in these capabilities, open-source alternate options are quickly closing the hole. 

Amongst globally obtainable open fashions, Ministral 3 ranks alongside DeepSeek and the GPT OSS household on the prime tier. Slightly than focusing on leaderboard efficiency on benchmarks, Ministral prioritises performances that matter in manufacturing, corresponding to producing structured outputs, processing giant paperwork, and executing perform calls inside reside techniques.

This makes Ministral 3 well-suited for the calls for of actual enterprise functions, as organisations are more and more adopting open-weight fashions for his or her transparency, deployment flexibility, and skill to run throughout numerous infrastructure setups, from cloud platforms to on-premise techniques.

Ministral 3 Structure

Ministral 3 is a household of dense, edge-optimised multimodal fashions designed for environment friendly reasoning, long-context processing, and native or personal deployment. The household presently contains 3B and 14B parameter fashions, every obtainable in base, instruct, and reasoning variants.

Ministral 3 14B

The biggest mannequin within the Ministral household is a dense, reasoning-post-trained structure optimised for math, coding, STEM, and different multi-step reasoning duties. It combines a ~13.5B-parameter language mannequin with a ~0.4B-parameter imaginative and prescient encoder, enabling native textual content and picture understanding. The 14B reasoning variant achieves 85% accuracy on AIME ’25, delivering state-of-the-art efficiency inside its weight class whereas remaining deployable on real looking {hardware}. It helps context home windows of as much as 256k tokens, making it appropriate for lengthy paperwork and complicated reasoning workflows.

Ministral 3 3B

The 3B mannequin is a compact, reasoning-post-trained variant designed for extremely environment friendly deployment. It pairs a ~3.4B-parameter language mannequin with a ~0.4B-parameter imaginative and prescient encoder (~4B complete parameters), offering multimodal capabilities. Just like the 14B mannequin, it helps 256k-token context lengths, enabling long-context reasoning and doc evaluation on constrained {hardware}.

Key Technical Options

• Multimodal Capabilities: All Ministral 3 fashions use a hybrid language-and-vision structure, permitting them to course of textual content and pictures concurrently for duties corresponding to doc understanding and visible reasoning.
• Lengthy-Context Reasoning: Reasoning variants help as much as 256k tokens, enabling prolonged conversations, giant doc ingestion, and multi-step analytical workflows.
• Environment friendly Inference: The fashions are optimised for edge and personal deployments. The 14B mannequin runs in BF16 on ~32 GB VRAM, whereas the 3B mannequin runs in BF16 on ~16 GB VRAM, with quantised variations requiring considerably much less reminiscence.
• Agentic Workflows: Ministral 3 is designed to work properly with structured outputs, perform calling, and tool-use, making it appropriate for automation and agent-based techniques.
• License: All Ministral 3 variants are launched beneath the Apache 2.0 license, enabling unrestricted industrial use, fine-tuning, and customisation.

Pretraining Benchmark Efficiency

Ministral 3 14B demonstrates sturdy reasoning capabilities and multilingual efficiency in comparison with equally sized open fashions, whereas sustaining aggressive outcomes on basic information duties. It significantly excels in reasoning-heavy benchmarks and exhibits stable factual recall and multilingual understanding.

Accessing Ministral 3 by way of Clarifai

Conditions

Earlier than runing  Ministral 3 with the Clarifai API, you’ll want to finish a number of primary setup steps:

1. Clarifai Account: Create a Clarifai account to entry hosted AI fashions and APIs.
2. Private Entry Token (PAT): All API requests require a Private Entry Token. You’ll be able to generate or copy one from the Settings > Secrets and techniques part of your Clarifai dashboard.
   

For extra SDKs and setup steering, consult with the Clarifai Quickstart documentation.

Utilizing the API

The examples under use Ministral-3-14B-Reasoning-2512, the biggest mannequin within the Ministral 3 household. It’s optimised for multi-step reasoning, mathematical drawback fixing, and long-context workloads, making it well-suited for long-document useecases and agentic functions. Right here’s the way to make your first API name to the mannequin utilizing completely different strategies.

Python (OpenAI-Appropriate)

Python (Clarifai SDK)

You can too use the Clarifai Python SDK for inference with extra management over era settings. Right here’s the way to make a prediction and generate streaming output utilizing the SDK:

Node.js (Clarifai SDK)

Right here’s the way to carry out inference with the Node.js SDK:

Playground

The Clarifai Playground allows you to shortly experiment with prompts, structured outputs, reasoning workflows, and performance calling with out writing any code.

Go to the Playground and select both:

• Ministral-3-3B-Reasoning‑2512
  

• Ministral-3-14B-Reasoning‑2512

Purposes and Use Instances

Ministral 3 is designed for groups constructing clever techniques that require sturdy reasoning, long-context understanding, and dependable structured outputs. It performs properly throughout agentic, technical, multimodal, and business-critical workflows.

Agentic Utility 

Ministral 3 is properly suited to AI brokers that must plan, motive, and act throughout a number of steps. It could possibly orchestrate instruments and APIs utilizing structured JSON outputs, which makes it dependable for automation pipelines the place consistency issues. 

Lengthy Context

Ministral 3 can analyze giant paperwork utilizing its prolonged 256K token context, making it efficient for summarization, info extraction, and query answering over lengthy technical texts. 

Multimodal Reasoning

Ministral 3 helps multimodal reasoning, permitting functions to mix textual content and visible inputs in a single workflow. This makes it helpful for image-based queries, doc understanding, or assistants that must motive over combined inputs.

Conclusion

Ministral 3 offers reasoning-optimized, open-weight fashions which can be prepared for manufacturing use. With a 256K token context window, multimodal inputs, native software calling, and OpenAI-compatible API entry by way of Clarifai, it affords a sensible basis for constructing superior AI techniques.

The 3B variant is good for low-latency, cost-sensitive deployments, whereas the 14B variant helps deeper analytical workflows. Mixed with Apache 2.0 licensing, Ministral 3 provides groups flexibility, efficiency, and long-term management.

To get began, discover the fashions within the Clarifai Playground or combine them immediately into your functions utilizing the API.