Zhipu AI GLM-5.1 latest flagship multimodal model
GLM-5.1 stands as Zhipu AI's latest flagship multimodal engine, engineered for complex vision-language tasks within a massive 128,000-token context window. Operating at FP16 precision, this proprietary model delivers state-of-the-art reasoning across document analysis and visual interpretation. Developers can integrate immediately via our standardized API endpoints, ensuring your first successful call happens within minutes of reading this guide. The architecture supports high-throughput inference suitable for production pipelines requiring deep contextual understanding without sacrificing latency.
For enterprise deployments, GLM-5.1 offers robust bilingual proficiency, fully supporting Arabic and English workflows essential for regional applications. Benchmarks indicate superior performance in mixed-language reasoning tasks compared to similar vision models in this cluster, validating its use for rigorous research pipelines. While the credit multiplier sits at 4x relative to base rates, the performance gain justifies the cost for high-stakes environments requiring accurate multimodal extraction. Production readiness is guaranteed through our starter tier access, allowing teams to scale from prototype to deployment without negotiating custom contracts. Pricing transparency ensures you can calculate operational expenses in preferred currency equivalents directly through the dashboard, with specific rates available for major regional currencies including KWD, SAR, and AED.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="glm-5.1",
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: "glm-5.1",
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": "glm-5.1",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'