Z.ai: GLM 5

Public pricingIntelligence 83/100Medium memoryRaciocínio profundoUso de ferramentas

Z.ai: GLM 5 é um modelo texto criado para programação, engenharia de software e fluxos agênticos. Ele combina bom desempenho em programação e uso confiável de ferramentas e comportamento agêntico, um contexto de 80K tokens e um perfil custo equilibrado para entregar trabalho confiável em programação, engenharia de software e fluxos agênticos.

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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1,00010,00050,000250,0001M10M

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.

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