Kimi-k2 1042B parameter (INT4) model with 262,144 token context window.
Kimi K2.6 is a high-performance thinking model designed for complex reasoning tasks within the LLM Resayil platform. Boasting 1042 billion parameters quantized to INT4, this enterprise-tier model delivers exceptional accuracy while maintaining efficient inference speeds. Developers can integrate it immediately via our standard API endpoints, enabling rapid prototyping without extensive configuration. Authentication follows standard protocols for immediate key activation. The massive 262,144 token context window allows for processing extensive documentation or codebases in a single request, making it ideal for advanced analysis and long-form content generation. This architecture supports seamless deployment into existing workflows requiring deep contextual retention.
For researchers and decision-makers, Kimi K2.6 offers robust bilingual proficiency, excelling in both Arabic and English benchmarks compared to alternative large-scale models. Its thinking category ensures deliberate problem-solving suitable for production environments requiring high reliability. While operating at an 8x credit multiplier relative to base rates, the model justifies the cost through superior output quality and reduced need for iterative refinement. Access requires an enterprise tier subscription, ensuring dedicated support and stability for mission-critical applications demanding precise linguistic nuance and deep contextual understanding. Evaluation data confirms consistent performance across diverse linguistic tasks.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="kimi-k2.6",
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: "kimi-k2.6",
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": "kimi-k2.6",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'