Z.ai: GLM 5.1

Public pricingIntelligence 79/100Large memoryRéflexion approfondieOutils

Z.ai: GLM 5.1 est un modèle texte conçu pour codage, débogage et travail technique. Il associe de bonnes performances en codage, un contexte de 203K tokens et un profil à coût équilibré pour un travail fiable sur coding, debugging, and technical writing.

Input

$1.05/1M

Output

$3.50/1M

Cached

$0.53/1M

Batch

$0.70/1M

Calculate your GLM 5.1 bill.

Set your workload — see cost at your exact volume.

What would GLM 5.1 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

GLM 5.1 at a glance.

Memory

202,752

tokens

Max reply

65,535

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Apr 2026

Training cutoff

Dec 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2025

    95.3

  • gpqa_diamond

    86.2

  • swe_bench_verified

    58.4

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 5.1

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

GLM 5.1 — 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 5.1 costs roughly $219 per month. Input is $1.05 /1M tokens and output is $3.50 /1M tokens.
GLM 5.1 has a 202,752-token context window (large memory — an entire book or large codebase). That means you can fit about 38,016 words of input and history in a single call.
Beyond text generation, GLM 5.1 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GLM 5.1 was released in April 2026, with training data cut off around December 2025.
Models in a similar class include GLM 5 Turbo, GLM 5V Turbo, GLM 4.6. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare GLM 5.1 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