Mistral Large 3 with 675B parameters
Mistral Large 3 675B stands as a flagship proprietary model within the Mistral family, engineered for complex reasoning and enterprise-grade applications. With 675 billion parameters and a massive 128,000-token context window, this FP16 precision model handles extensive documentation analysis and multi-step agentic workflows without losing coherence. Developers can integrate immediately via standardized API endpoints, requiring minimal configuration to initiate the first request. The architecture supports high-throughput inference, ensuring latency remains manageable even during peak load scenarios. This makes it an ideal choice for building robust chatbots, code generation tools, or data extraction pipelines where accuracy is paramount.
For researchers and decision-makers, Mistral Large 3 delivers state-of-the-art performance across bilingual tasks, demonstrating exceptional proficiency in both Arabic and English benchmarks. It outperforms many alternatives in nuanced language understanding and logical deduction, making it suitable for production environments requiring high fidelity. Access is available starting at the starter tier on our platform, with a 4x credit multiplier reflecting its premium computational density. This transparent pricing structure allows teams to forecast operational costs accurately while leveraging top-tier intelligence. Whether validating hypothesis-driven research or deploying customer-facing solutions, this model provides the reliability and linguistic versatility needed for scalable AI deployment.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="mistral-large-3:675b",
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: "mistral-large-3:675b",
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": "mistral-large-3:675b",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'