GLM 5 Turbo

Zhipu Ai chatreasoningtool_use Long

API ID: z-ai/glm-5-turbo-20260315

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Input Price
$1.20
/1M tokens
Output Price
$4.00
/1M tokens
Cached Input
$0.24
Save 80%

About GLM 5 Turbo

GLM 5 Turbo is a mid-range general-purpose model from Zhipu Ai with ultra-long context (203k), suitable for conversations, content creation, and general AI tasks.

💰
Price Ranking
#1060 lowest price among 1240 Chat models

Model Specifications

Context Length
203k
Max Output
131k
Release Date
2026-03-15
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)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$1.74
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$54.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$75.00
/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 5 Turbo Current Free Free 203k 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
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 5 Turbo 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-5-turbo-20260315",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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