Z.ai: GLM 5 Turbo

Public pricingIntelligence 81/100Large memory深い思考ツール利用

Z.ai: GLM 5 Turbo は テキスト モデルで、エージェント業務とツール利用 に向いています。安定したツール利用とエージェント動作、低遅延で効率的な推論、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、agent workflows, tool use, and orchestration で安定した動作を支えます。遅延・コスト・スループット 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

$1.20/1M

Output

$4.00/1M

Cached

$0.24/1M

Batch

$0.60/1M

Calculate your GLM 5 Turbo bill.

Set your workload — see cost at your exact volume.

What would GLM 5 Turbo cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

GLM 5 Turbo at a glance.

Memory

202,752

tokens

Max reply

131,072

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Mar 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • frontiermath_tier_4

    2.1

  • swe_bench_verified

    72.08

  • gpqa_diamond

    87.82

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 Turbo

  • 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 Turbo — 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 Turbo costs roughly $250 per month. Input is $1.20 /1M tokens and output is $4.00 /1M tokens.
GLM 5 Turbo 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 Turbo 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 Turbo was released in March 2026, with training data cut off around October 2025.
Models in a similar class include GLM 5V Turbo, GLM 5.1, GLM 4.6. The "Similar models" section below this FAQ links into each.

Still unsure?

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