Mistral Ministral 3 with 14B parameters
Ministral 3 14B delivers exceptional performance for its size, optimized for complex reasoning and extended context processing within the Mistral family. Featuring a 128,000-token context window and FP16 precision, this proprietary model handles long-document analysis and multi-turn conversations with high fidelity. Developers can integrate immediately via standard API endpoints, requiring minimal configuration to start building. The 2.5x credit multiplier ensures cost-effective scaling for production workflows, making it an ideal choice for applications demanding balanced speed and intelligence without excessive overhead. Benchmarks indicate competitive accuracy against larger alternatives, validating its utility for research pipelines requiring efficient inference.
Engineered for global deployment, Ministral 3 14B provides robust native support for Arabic and English, ensuring accurate nuance in regional applications. The proprietary license guarantees commercial stability, while our transparent credit system allows decision-makers to forecast expenses accurately without hidden fees. Whether powering customer support agents or analyzing technical documentation, this model meets enterprise-grade reliability standards. Accessible on the starter tier, it removes barriers to entry for teams validating AI pipelines before committing to larger infrastructure investments. Pricing remains predictable through the credit multiplier, eliminating the need for sales consultations during initial prototyping.
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-3:14b",
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-3:14b",
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-3:14b",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'