Z.ai: GLM 4.6

Public pricingIntelligence 78/100Large memoryगहरी सोचटूल उपयोग

Z.ai: GLM 4.6 एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 205K tokens का context और संतुलित लागत profile जोड़कर general chat, analysis, and production workloads 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

$0.39/1M

Output

$1.90/1M

Cached

$0.11/1M

Batch

$0.30/1M

Calculate your GLM 4.6 bill.

Set your workload — see cost at your exact volume.

What would GLM 4.6 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

GLM 4.6 at a glance.

Memory

204,800

tokens

Max reply

204,800

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Sep 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    30

  • frontiermath_tier_4

    2.13

  • livecodebench

    82.8

  • swe_bench_verified

    68

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 4.6

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

GLM 4.6 — 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 4.6 costs roughly $105 per month. Input is $0.39 /1M tokens and output is $1.90 /1M tokens.
GLM 4.6 has a 204,800-token context window (large memory — an entire book or large codebase). That means you can fit about 38,400 words of input and history in a single call.
Beyond text generation, GLM 4.6 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GLM 4.6 was released in September 2025, with training data cut off around June 2025.
Models in a similar class include GLM 4.7, GLM 4.7 Flash, Kimi K2.5. The "Similar models" section below this FAQ links into each.

Still unsure?

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