GLM 4.6V

Zhipu Ai chatreasoningtool_usevideovision

API ID: z-ai/glm-4.6-20251208

Input Price
$0.30
/1M tokens
Output Price
$0.90
/1M tokens

About GLM 4.6V

GLM 4.6V is a budget-friendly general-purpose model from Zhipu Ai with long context (131k), suitable for conversations, content creation, and general AI tasks.

๐Ÿ’ฐ
Price Ranking
#849 lowest price among 1240 Chat models

Model Specifications

Context Length
131k
Max Output
33k
Release Date
2025-12-08
Capabilities
chat reasoning tool_use video vision
Input Modalities
imagetextvideo
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)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.40
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$12.60
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$17.55
/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 4.6V Current Free Free 131k chat reasoning tool_use video 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

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Mistral Codestral 2508
Input: $0.30
Output: $0.90
Context: 256k
Alibaba Qwen Qwen3 VL 30B A3B Thinking
Input: $0.20
Output: $1.00
Context: 262k
MiniMax MiniMax M2.7
Input: $0.24
Output: $0.96
Context: 205k
Alibaba Qwen Qwen3 Next 80B A3B Instruct
Input: $0.09
Output: $1.10
Context: 262k

๐Ÿš€ Quick Start

Get started with GLM 4.6V 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-4.6-20251208",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)