GLM 4.7 Flash

Zhipu Ai chatreasoningtool_use Long

API ID: z-ai/glm-4.7-flash-20260119

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Input Price
$0.06
/1M tokens
Output Price
$0.40
/1M tokens

About GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.

💰
Price Ranking
#722 lowest price among 1240 Chat models

Model Specifications

Context Length
203k
Max Output
131k
Release Date
2026-01-19
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
$0.15
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$4.50
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$6.15
/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 4.7 Flash 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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🚀 Quick Start

Get started with GLM 4.7 Flash 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-4.7-flash-20260119",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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