Z.ai: GLM 4.6V

Public pricingIntelligence 79/100Medium memory視覚深い思考ツール利用

Z.ai: GLM 4.6V は マルチモーダル モデルで、マルチモーダル推論と分析 に向いています。マルチモーダル入力処理、深い推論と計画、131K tokensのコンテキスト、低コストの特性を組み合わせ、マルチモーダル推論と分析 で安定した動作を支えます。品質・速度・コスト が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.30/1M

Output

$0.90/1M

Cached

$0.11/1M

Batch

$0.30/1M

Calculate your GLM 4.6V bill.

Set your workload — see cost at your exact volume.

What would GLM 4.6V cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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.

Still unsure?

Compare GLM 4.6V 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