Mistral Ministral 3 with 3B parameters — compact and fast
Ministral 3 3B delivers exceptional speed and efficiency for high-throughput applications requiring rapid inference. With a massive 128,000 token context window, it handles extensive documents and long conversation histories without latency spikes. Developers can integrate this model via our standard API endpoints, enabling first calls within minutes using familiar SDKs and standard authentication protocols. Its 3B parameter count ensures low latency while maintaining robust reasoning capabilities suitable for complex summarization and classification tasks. This compact architecture allows researchers to deploy powerful inference pipelines where larger models prove cost-prohibitive or unnecessarily heavy for specific benchmarks.
Production teams value its proprietary license and starter tier accessibility for immediate deployment. The model supports multilingual interactions, including strong Arabic language capabilities, making it ideal for customer support agents and localized content generation. Cost efficiency is managed through a transparent 1.5x credit multiplier, providing a predictable balance between performance and expenditure for budget planning. This ensures scalable deployment for enterprise workflows without compromising on response quality or compliance standards. Whether building real-time chatbots or analyzing large datasets, this model offers a reliable foundation for next-generation AI solutions that demand both speed and linguistic versatility across diverse user bases.
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-3:3b",
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-3:3b",
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-3:3b",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'