Vision Mistral

Ministral 3 8B

Mistral Ministral 3 with 8B parameters

8B
Parameters
128K
Context Window
Credit Rate
Starter
Min Tier

Overview

Ministral 3 8B delivers exceptional performance within a compact 8B parameter footprint, optimized for high-throughput API integration. Developers can initiate their first API call within minutes using our standardized endpoints, leveraging a massive 128,000 token context window for extensive document processing. Running in FP16 precision, this proprietary model ensures robust inference speed while maintaining a starter tier accessibility with a 2x credit multiplier. The proprietary license guarantees consistent availability for commercial applications. It is engineered for seamless deployment into production pipelines without complex infrastructure management, allowing builders to focus on application logic rather than backend optimization.

For researchers and enterprise leaders, Ministral 3 8B offers validated competency across both Arabic and English linguistic tasks. Benchmark data confirms competitive reasoning capabilities compared to larger alternatives, making it suitable for diverse research pipelines. Detailed comparison metrics are accessible directly within the dashboard. Business decision makers will find transparent pricing structures available in KWD, SAR, and AED, ensuring cost predictability for regional operations. Full Arabic support is confirmed out-of-the-box, eliminating the need for additional localization layers. This model balances efficiency with enterprise-grade reliability, providing a production-ready solution for multilingual chat interfaces and automated workflows.

Specifications

Display Name Ministral 3 8B
Family Mistral
Category Vision
Parameters 8B
Context Window 128,000 tokens
Quantization FP16
License PROPRIETARY
Min Tier Starter
Status Available

Pricing

credits per token
1K 2,000 Credits
10K 20,000 Credits
100K 200,000 Credits
View Pricing Plans

Code Examples

from openai import OpenAI

client = OpenAI(
    base_url="https://llmapi.resayil.io/v1/",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="ministral-3:8b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)
const response = await fetch(
    "https://llmapi.resayil.io/v1/chat/completions",
    {
        method: "POST",
        headers: {
            "Content-Type": "application/json",
            "Authorization": "Bearer YOUR_API_KEY"
        },
        body: JSON.stringify({
            model: "ministral-3:8b",
            messages: [
                { role: "user", content: "Hello!" }
            ]
        })
    }
);

const data = await response.json();
console.log(data.choices[0].message.content);
curl https://llmapi.resayil.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "ministral-3:8b",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Use Cases

Summarizing long documents within the large context window.
Customer support chatbot handling complex user inquiries efficiently.
Extracting key insights from extensive legal or technical contracts.
Generating creative writing prompts and story outlines for authors.
Analyzing codebases and providing refactoring suggestions for developers.

Related Models

Start building with Ministral 3 8B

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