Mistral Devstral Small 2 with 24B parameters
Devstral Small 2 24B delivers exceptional code generation and reasoning capabilities within a compact 24B parameter architecture. Engineered for high-performance development workflows, this model supports a massive 128,000 token context window, allowing you to process entire codebases or lengthy documentation in a single request. Available immediately through our API, integration requires minimal setup, enabling builders to execute their first successful call within minutes. The FP16 quantization ensures optimal balance between inference speed and precision, making it ideal for real-time applications where latency matters.
For researchers and enterprise decision-makers, Devstral Small 2 offers robust multilingual proficiency, including native-level Arabic support alongside English tasks. While specific benchmark tables are available in our technical documentation, this model consistently outperforms comparable sizes in structured data extraction and logical reasoning. As a proprietary model hosted on our platform, it is production-ready with guaranteed uptime and scalable throughput. The credit multiplier of 2.5x reflects its specialized utility, providing cost-efficient access to premium intelligence without requiring complex infrastructure management. Choose Devstral Small 2 to accelerate deployment while maintaining strict control over output quality and operational expenses.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="devstral-small-2:24b",
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: "devstral-small-2:24b",
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": "devstral-small-2:24b",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'