GLM 4.5V

Zhipu Ai chatreasoningtool_usevision

API ID: z-ai/glm-4.5v

Compare Calculate
Input Price
$0.60
/1M tokens
Output Price
$1.80
/1M tokens
Cached Input
$0.11
Save 82%

About GLM 4.5V

GLM 4.5V is a mid-range general-purpose model from Zhipu Ai with standard context (66k), suitable for conversations, content creation, and general AI tasks.

💰
Price Ranking
#962 lowest price among 1240 Chat models

Model Specifications

Context Length
66k
Max Output
16k
Release Date
2025-08-11
Capabilities
chat reasoning tool_use vision
Input Modalities
textimage
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.81
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$25.20
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$35.10
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

Zhipu Ai Model Lineup

Compare all models from Zhipu Ai to find the best fit

Model Input Output Context Capabilities
GLM 4.5V Current Free Free 66k chat reasoning tool_use vision
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
View All Zhipu Ai Models →

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💡 Cheaper Alternatives

Same Brand (Zhipu Ai)

GLM 4.1V 9B Thinking
$0.04 $0.14 66k
GLM 4 32B
$0.10 $0.10 33k
GLM 4.5 Air
$0.05 $0.22 131k

Cross Brand

GTE-Base Other
$0.0050 Free 512
E5-Base-v2 Other
$0.0050 Free 512
paraphrase-MiniLM-L6-v2 Other
$0.0050 Free 512

🚀 Quick Start

Get started with GLM 4.5V 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-4.5v",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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