Z.ai: GLM 5.1

Public pricingIntelligence 79/100Large memory深い思考ツール利用

Z.ai: GLM 5.1 はテキストモデルで、コーディング、デバッグ、技術作業に向いています。高いコーディング性能、203K tokensのコンテキスト、バランス型コストの特性を組み合わせ、coding, debugging, and technical writing 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。

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.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

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.

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