GLM 4.5

Zhipu AI chatreasoningtool_use

API ID: z-ai/glm-4.5

Input Price
$0.35
/1M tokens
Output Price
$1.55
/1M tokens

About GLM 4.5

GLM-4.5 is Zhipu AI's enhanced model series, introducing improvements in reasoning and capability over GLM-4. The models feature better instruction following, enhanced multilingual support, and improved performance on complex tasks. GLM-4.5 variants include vision-enabled versions for multimodal applications. The series demonstrates Zhipu AI's continued advancement in large language model development. For organizations seeking capable AI with strong Chinese language support, GLM-4.5 offers the latest improvements from Zhipu AI.

๐Ÿ’ฐ
Price Ranking
#791 lowest price among 950 Chat models

Model Specifications

Context Length
131k
Max Output
98k
Release Date
2025-07-25
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.62
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$19.20
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$26.48
/month
500 analyses/day, ~2k tokens each

Zhipu AI Model Lineup

Compare all models from Zhipu AI to find the best fit

Model Input Output Context Capabilities
GLM 4.5 Current Free Free 131k chat reasoning tool_use
GLM 4 9B Free Free 32k chat
GLM 4 9B Free Free 32k chat
GLM 4 32B Free Free 33k chat
GLM 4 32B Free Free 33k chat
GLM 4.1V 9B Thinking Free Free 66k chat vision reasoning

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Other Morph V3 Fast
Input: $0.80
Output: $1.20
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๐Ÿš€ Quick Start

Get started with GLM 4.5 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="z-ai/glm-4.5",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)