Z.ai: GLM 4.5V

Public pricingIntelligence 79/100Medium memory비전심층 추론도구 활용

Z.ai: GLM 4.5V은 에이전트 워크플로와 도구 활용에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、안정적인 도구 사용과 에이전트 동작, 66K tokens의 컨텍스트, 균형형 비용 특성을 결합해 agent workflows, tool use, and orchestration에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.60/1M

Output

$1.80/1M

Cached

$0.11/1M

Batch

$0.30/1M

Calculate your GLM 4.5V bill.

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What would GLM 4.5V cost you?

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Technical specifications

GLM 4.5V at a glance.

Memory

65,536

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Aug 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GLM 4.5V

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

GLM 4.5V — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GLM 4.5V costs roughly $117 per month. Input is $0.60 /1M tokens and output is $1.80 /1M tokens.
GLM 4.5V has a 65,536-token context window (medium memory — a long report or a codebase file). That means you can fit about 12,288 words of input and history in a single call.
Beyond text generation, GLM 4.5V supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GLM 4.5V was released in August 2025, with training data cut off around April 2025.
Models in a similar class include GLM 4.6V, Gemini 3 Flash Preview, GPT-5.4 Mini. The "Similar models" section below this FAQ links into each.

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