GLM-4.7 API

GLM-4.7 is Zhipu AI flagship text LLM optimized for agentic coding and stable multi-step reasoning, supporting long-context workflows.

Modalities: TextText
In / Out price: $0.6/$2.2per 1M
Context window: 200K tokens
Released: Dec 23, 2025

GLM-4.7 overview

GLM-4.7 by Zhipu AI

GLM-4.7 is Z.AI's latest flagship large language model, purpose-built for agentic coding and stable multi-step reasoning.

GLM-4.7 specs

Model ID: zhipu/glm-4.7
Developer: Zhipu AI
Context window: 200,000 tokens
Max output: 128,000 tokens
Input: Text
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

GLM-4.7: Zhipu AI's Flagship LLM for Agentic Coding

GLM-4.7 represents Zhipu AI's latest advancement in large language models, prioritizing agentic coding, stable multi-step reasoning, and complex workflows. Released in December 2025, it supports a 200K token context window and up to 128K output tokens, enabling robust handling of extended tasks.

Technical Specifications

Model Type: Large Language Model (LLM)
Context Window: 200,000 tokens
Maximum Output Length: 128,000 tokens
Output Modalities: Text, structured responses, reasoning traces

Performance Benchmarks

GLM-4.7 leads open-source models in coding benchmarks at 128K context, achieving 73.8% on SWE-bench Verified (up 5.8% from GLM-4.6) and 84.9% on LiveCodeBench v6, surpassing Claude Sonnet 4.5. Reasoning scores include 42.8% on HLE with tools (41% gain over predecessor) and 95.7% on AIME 2025.

Key Features

GLM-4.7 excels in programming with a "think before acting" mechanism, improving multi-language code generation and terminal agent performance. It integrates function calling, structured JSON outputs, context caching, and real-time streaming for seamless developer workflows.

Agentic Coding‍

Seamlessly writes, debugs, and deploys code across languages, ideal for terminal-based and IDE-integrated workflows.

Vibe Coding & UI Generation‍

Generates modern, aesthetically refined HTML/CSS/JS and presentation slides with accurate layout, spacing, and design sensibility.

Use cases

Web UI and visual content creation with professional-grade aesthetics for low-code tools.
Complex problem-solving in multi-turn chats, research, and immersive writing/role-play.
Intelligent search consolidating cross-source data for decision support.

Capabilities

Function calling
Streaming
Structured outputs
Reasoning

GLM-4.7 benchmarks by Artificial Analysis

See how GLM-4.7 compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed#205 / 21938.4Output tokens / second Latency#117 / 2161.60Seconds to first token Humanity's Last Exam#111 / 45827.4%Score GPQA Diamond#81 / 43985.9%Score

Speed

Output tokens / second

Benchmark results

Compare 13 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

GLM-4.7 API pricing

GLM-4.7 pricing in US dollars
Usage	Price	Unit
Input	$0.6	1M tokens
Output	$2.2	1M tokens
Cached input	$0.11	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

GLM-4.7 vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
GLM-4.7	$0.6	$2.2
GLM-5.3-Flash	$0.15	$0.5
GLM 5.3 FlashX	$0.37	$1.25
GLM-5.3	$1.4	$4.4
GLM 5.2 Fast Preview	$3.5	$11

How to use the GLM-4.7 API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "zhipu/glm-4.7",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "zhipu/glm-4.7",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "zhipu/glm-4.7",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

GLM-4.7 FAQ

What is the context window of GLM-4.7?

GLM-4.7 has a 200,000 tokens context window and can return up to 128,000 tokens.

What inputs and outputs does GLM-4.7 support?

GLM-4.7 takes text as input and returns text.

What is the model ID for GLM-4.7?

Use zhipu/glm-4.7 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was GLM-4.7 released?

GLM-4.7 became available on December 23, 2025.

How much does GLM-4.7 cost?

GLM-4.7 costs $0.6 input and $2.2 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does GLM-4.7 support streaming?

Yes, GLM-4.7 can stream responses as they are generated.

Who created GLM-4.7?

GLM-4.7 was built by Zhipu AI.

Start building with GLM-4.7

Get API key

GLM-4.7 API

zhipu/glm-4.7

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "zhipu/glm-4.7",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "zhipu/glm-4.7",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "zhipu/glm-4.7",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Docs for AI agents Plain-text index · llms.txt API documentation API reference and examples

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GLM-4.7 API

GLM-4.7 overview

GLM-4.7 by Zhipu AI

GLM-4.7 specs

GLM-4.7: Zhipu AI's Flagship LLM for Agentic Coding

Technical Specifications

Performance Benchmarks

Key Features

Agentic Coding‍

Vibe Coding & UI Generation‍

Use cases

Capabilities

GLM-4.7 benchmarks by Artificial Analysis

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

AA-LCR

IFBench

τ²-Bench Telecom

GLM-4.7 API pricing

GLM-4.7 vs other models: token prices

How to use the GLM-4.7 API

Build with your agent

1Get your API key

2Make your first request

Related articles

GLM-4.7 FAQ

Start building with GLM-4.7

GLM-4.7 API

Build with your agent

1Get your API key

2Make your first request

GLM-4.7 API

GLM-4.7 overview

GLM-4.7 by Zhipu AI

GLM-4.7 specs

GLM-4.7: Zhipu AI's Flagship LLM for Agentic Coding

Technical Specifications

Performance Benchmarks

Key Features

Agentic Coding‍

Vibe Coding & UI Generation‍

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

AA-LCR

IFBench

τ²-Bench Telecom

GLM-4.7 API pricing

GLM-4.7 vs other models: token prices

How to use the GLM-4.7 API

Build with your agent

1Get your API key

2Make your first request

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