Z.ai: GLM 5

Public pricingIntelligence 83/100Medium memoryगहरी सोचटूल उपयोग

Z.ai: GLM 5 एक टेक्स्ट मॉडल है, जिसे कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows के लिए बनाया गया है। यह मजबूत coding प्रदर्शन، विश्वसनीय tool use और agent behavior, 80K tokens का context और संतुलित लागत profile जोड़कर कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो,

Input

$0.72/1M

Output

$2.30/1M

Cached

$0.20/1M

Batch

$0.50/1M

Calculate your GLM 5 bill.

Set your workload — see cost at your exact volume.

What would GLM 5 cost you?

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Technical specifications

GLM 5 at a glance.

Memory

80,000

tokens

Max reply

131,072

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Feb 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    50

  • aime_2025

    92.7

  • frontiermath_tier_4

    2.1

  • gpqa_diamond

    86

  • swe_bench_verified

    77.8

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 5

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • 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 5 — 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 5 costs roughly $146 per month. Input is $0.72 /1M tokens and output is $2.30 /1M tokens.
GLM 5 has a 80,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 15,000 words of input and history in a single call.
Beyond text generation, GLM 5 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GLM 5 was released in February 2026, with training data cut off around October 2025.
Models in a similar class include GLM 4.5, GLM 4.5V, GLM 4.6. The "Similar models" section below this FAQ links into each.

Still unsure?

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