Overview

GLM-5.1 stands as the latest flagship multimodal model within the GLM family, engineered for complex reasoning and high-fidelity visual understanding. Designed for developers building advanced applications, this model excels at interpreting intricate diagrams, charts, and visual data alongside textual inputs. With a massive 128,000-token context window, it maintains coherence across extensive documents and long-form conversations, ensuring precise recall and analysis without performance degradation. The FP16 quantization balances computational efficiency with output accuracy, making it suitable for production environments demanding reliability.

Accessible through the LLM Resayil platform starting at the starter tier, GLM-5.1 offers a robust solution for enterprise-grade workflows. While operating with a 4x credit multiplier relative to the base rate, the model delivers superior performance that justifies the investment for critical tasks requiring deep visual insight. Its proprietary license ensures stable API access and consistent behavior, allowing teams to integrate sophisticated vision-language capabilities without managing underlying infrastructure. Choose GLM-5.1 when your project demands state-of-the-art multimodal processing and extended context retention within a seamless developer experience.

Specifications

Display Name GLM-5.1

Family GLM

Category Vision

Parameters unknown

Context Window 128,000 tokens

Quantization FP16

License PROPRIETARY

Min Tier Starter

Status Available

Pricing

4×

credits per token

1K 4,000 Credits

10K 40,000 Credits

100K 400,000 Credits

View Pricing Plans

Code Examples

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!"}
    ]
  }'

Use Cases

Analyzing complex charts and graphs for data insights

Interpreting technical diagrams and schematics for engineering tasks

Accurately extracting text from scanned handwritten notes

Summarizing lengthy documents containing embedded images and text

Handling visual data across extensive token context windows

In-Depth Guide

Full Guide

Complete Guide to GLM-5.1 — LLM Resayil

GLM-5.1