Z.ai: GLM 4.6V

Public pricingIntelligence 79/100Medium memoryविज़नगहरी सोचटूल उपयोग

Z.ai: GLM 4.6V एक मल्टीमॉडल मॉडल है, जिसे multimodal तर्क और विश्लेषण के लिए बनाया गया है। यह multimodal input handling، गहरी तर्कशक्ति और योजना, 131K tokens का context और कम लागत profile जोड़कर multimodal तर्क और विश्लेषण में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.30/1M

Output

$0.90/1M

Cached

$0.11/1M

Batch

$0.30/1M

Calculate your GLM 4.6V bill.

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What would GLM 4.6V cost you?

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Technical specifications

GLM 4.6V at a glance.

Memory

131,072

tokens

Max reply

131,072

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Dec 2025

Training cutoff

Aug 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 4.6V

  • 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 4.6V — 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 4.6V costs roughly $59 per month. Input is $0.30 /1M tokens and output is $0.90 /1M tokens.
GLM 4.6V has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, GLM 4.6V 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 4.6V was released in December 2025, with training data cut off around August 2025.
Models in a similar class include GLM 4.5V, Gemini 2.5 Flash, Grok 3 Mini. The "Similar models" section below this FAQ links into each.

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