Z.ai: GLM 4.5V

Public pricingIntelligence 79/100Medium memoryالرؤيةتفكير عميقاستخدام الأدوات

Z.ai: GLM 4.5V هو نموذج متعدد الوسائط مخصص لـسير عمل الوكلاء واستخدام الأدوات. يجمع بين معالجة الإدخال متعدد الوسائط، استخدام موثوق للأدوات وسلوك الوكلاء وسياق بحجم 66K tokens وملف متوازن التكلفة لتقديم عمل موثوق في agent workflows, tool use, and orchestration. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$0.60/1M

Output

$1.80/1M

Cached

$0.11/1M

Batch

$0.30/1M

Calculate your GLM 4.5V bill.

Set your workload — see cost at your exact volume.

What would GLM 4.5V cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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.

Still unsure?

Compare GLM 4.5V against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard